Keynote Speaker


Rosemary Radich

Principle Data Scientist, American Veterinary Association

"The Journey to Becoming a Data Scientist: Valuing Different Perspectives"


Businesses and organizations are looking to leverage the power of big data through data science, but turning buzz words into action can be a struggle. There are a wide variety of ways in which data can be used to drive insights, predict human behavior, and optimize business outcomes. Algorithms can predict what types of coffee people will drink, music they listen to, type of financial service they will purchase, or how often owners will take their pet in for a check up. In order to successfully leverage data science innovations, employers need workers with a variety of backgrounds, skills, and specializations – hiring students from a wide variety of fields from math, engineering, sociology, business, anthropology, and more. Advanced machine learning, AI, and predictive analytics require technical skills, but analyzing a wide variety of data requires subject matter expertise and the ability to successfully communicate and collaborate with other data and social science experts. Data science is at the forefront of innovative technology globally, and locally here in Wichita – applying data engineering, analytics, and visualization to all industries and areas of society. Come learn how students, teachers, and industry leaders can use a combination of skill and diversity to execute on innovative ideas.


Rosemary Radich is Principal Data Scientist for the American Veterinary Medical Association, where she leads data strategy and delivers data science insights for the veterinary profession. Radich uses her data science expertise to serve more than 95,000 members and promote the AVMA’s mission to protect, promote and advance the needs of all veterinarians and those they serve.

Her work has resulted in multiple patents for proprietary analytics products and processes, and Radich frequently addresses business conferences and industry groups, advising business leaders how the power of data and analytics can drive results across all areas of their business. She has served as a featured speaker at Microsoft Ignite as well as conferences for Esri and Google. Radich has appeared as a subject matter expert for the AccuWeather Network and her team’s work with Spotify was featured on the Today Show.

In addition to her work in the veterinary profession, Radich has over a decade of experience leading data science teams and initiatives across various industries such as finance, technology, and media. Prior to joining the AVMA, Radich was Director, Data Science at AccuWeather where she led AccuWeather’s global weather data science team, which serviced all lines of business for a global audience and more than half of Fortune 500 companies. Under her leadership, AccuWeather’s big data and analytics initiatives grew, and her team expanded to provide data science expertise for all of the company’s business units.

In addition to analyzing weather data, Radich has data science experience in retail, transportation, health and fitness, sports, music and entertainment, safety and security, and economic trends. Before joining AccuWeather, Radich was an Analyst at Cox Communications, where she conducted operational analysis to find ways to increase efficiency, and played a key role in the company’s transition from the Cisco telephone platform to Avaya. Prior to Cox, she was a Senior Analyst for Meritrust Credit Union, where she managed and performed analysis for leadership to drive revenue and decrease expenses. Radich earned a master’s degree in sociology from Wichita State University, with a focus on quantitative and qualitative methodologies. As a graduate student, Radich has work published for analysis of income, household labor, sexual assault, marriage and parenting time, and women in male-dominated sports.

Wichita State Academic Leadership Speakers

Dr. Richard Muma


"Opening Remarks"

Dr. Larisa Genin

Dean, W. Frank Barton School Of Business

"Dean's Panel: Data Analytics at WSU: Current state and a vision for the collaborative future"

Dr. Andrew Hippisley

Dean, Fairmount College of Liberal Arts and Sciences

"Dean's Panel: Data Analytics at WSU: Current state and a vision for the collaborative future"

Dr. Dennis Livesay

Dean, College Of Engineering

"Dean's Panel: Data Analytics at WSU: Current state and a vision for the collaborative future"

Dr. Jeremy Patterson

Dean, Interim Executive Director for Innovation & New Ventures

"Dean's Panel: Data Analytics at WSU: Current state and a vision for the collaborative future"

Dr. Colleen Pugh

Dean, Graduate School

"Dean's Panel: Data Analytics at WSU: Current state and a vision for the collaborative future"

Dr. Mark Vermilion

Department Chair, Sport Management, College of Applied Studies

"Dean's Panel: Data Analytics at WSU: Current state and a vision for the collaborative future"

Community and Industry Speakers

Lowell D. Ebersole

Chief Medical Officer at Wesley Healthcare

"Improving the Patient Experience: Using Data to Transform Health Systems."


The changing landscape of healthcare is creating a demand for health data analytics to identify trends that directly influence health outcomes. Advanced data analytics methods are used to capture and communicate information to improve patient care and monitor patient safety in health care systems through innovative operating strategies and clinical expertise. With shifts in trends in practice and value-based cost strategies, insights can be drawn from health data that inform on use of resources, practitioner performance, tracking health of the populations and predicting risk factors for chronic disease. HCA Healthcare - Wesley Healthcare uses data from more the 27 million patient encounters each year to develop clinical protocols and discover what works and what may need changed in a healthcare system to establish new standards of care.


Dr. Lowell Ebersole received his Doctor of Osteopathy from Des Moines University in 2001.  He completed his Family Practice Residency at Via Christi in 2004 (Chief Resident - 2003-2004). Dr. Ebersole practiced as a Hospitalist for many years. Early in his career he was a Hospitalist at Wesley and more recently he practiced as a Hospitalist at Via Christi. He has had a number of leadership positions during his career including President of the Via Christi Medical Staff and Medical Director of the Hospitalist Program. Dr. Ebersole started in the role of Associate Chief Medical Officer at Wesley Healthcare in January 2019.  He became the Chief Medical Officer in August 2019. His community activities include Central Plains Health Care Partnership/Project Access Board Member and Steering Committee Member for Young Life Wichita. Dr. Ebersole is married with four children.


James Robert Meyerhoffer-Kuablik

Sr. Business Analyst for Callahan

"Harnessing One’s Passion in Data Analytics: A Journey from Wichita State to Beyond"


James Meyerhoffer-Kubalik will discuss his professional experiences in data analytics and how Wichita State Economics Dept. helped him harness his creativity and passion into a career in data analytics. James will present real world cases of how the Callahan Analytics team is reshaping the marketing landscape. Additionally, James will present his College Football Playoff & Oscars Best Picture data models.


James is a Sr. Business Analyst for Callahan (marketing agency) in Lawrence, KS. He currently performs a variety of economic, operational, and marketing specific analysis for clients. The analyses range from client specific: system and store-level statistical forecasts, weather models to understand business drivers and establish marketing triggers, to a media impulse shock analysis used identify store and product specific responses to media. He has hosted a series of data modeling podcasts and written blogs over algorithms and predictive analytics. James has combined his passion for data analytics and college football to develop models to predict College Football Playoff teams and identifying determinant of college football gameday attendance.

He began his career at Koch Industries performing varying levels of auditing and process improvement analysis. He also served as an Internal Auditor for Spirit AeroSystems and the University of Kansas. Mr. Meyerhoffer-Kubalik earned a degree in Accounting from the University of Nebraska-Kearney and his master’s degree in Economics from Wichita State University.


Mario Rappi

"Open-source Software"


I will explain how to get started using three free and open-source software packages available online: OpenSolver, SolverStudio and Google ORtools. Will show where to find them and demo how to download and install; how to write a model and solve an optimization problem


Mario Rappi, BS Aerospace Engineering and MS Industrial Engineering (WSU 2002). Certified Analytics Professional (Informs 2013). Over 20 years of experience in the airline, meat processing, aerospace and logistics industries and in IT development, operations, supply chain, consulting and business development roles. Passionate about turning data into money.


Travis Scheopner

Data Analytics Leader for Koch Ag & Energy Solutions

"Business Analytics in Action."


Travis Scheopner will present examples of how his team is utilizing innovative technologies and evolving resource talent to develop advanced analytics capabilities such as machine learning and augmented/artificial intelligence. Travis will present real world use cases demonstrating how his team is applying analytics to predict and prescribe actionable decisions across multiple domains including Operations, Supply Chain, Commercial, and Finance.


Travis earned a bachelor’s degree in Accounting from Friends University and an M.B.A. with a concentration in Business Analytics from Wichita State University. Travis has been employed by Koch for eight years. Travis started his career in IT as a software developer for a tax solutions company. Travis also spent several years in the medical IT field prior to joining Koch. Travis and his team are actively engaged in several advanced analytics projects serving multiple capabilities in Koch Ag & Energy Solutions.


Anila Viswambharan

Analytics Platform Owner for Airbus Americas

"The Journey of Analytics: Airbus America"


2019 has been an important year for the Analytics Journey of Airbus Americas, as we focused on four aspects related to an Analytics landscape:

  1. Providing a secure platform that can handle confidential data
  2. Industrialized tools that were easy to access and learn.
  3. Self-service
  4. Data Governance and Process

Our main challenge has been standardization of data and once we had the data providing visual and business Analytics was relatively simpler.

In this presentation, we would like to showcase the Journey of Analytics and specifically the Analytics platform at Airbus Americas using some of our use cases. Use cases include automation of Information management using ETL tools like Alteryx that have shown considerable increase in productivity and reduction in Manual error, Dashboard and visual analytics using Tableau and a sneak peek into how we manage security on an Analytics platform that is 100% on Amazon Web Services Cloud.


Anila is the Analytics Platform owner for Airbus Americas and is a member of the Information Management Team, based out of Herndon VA. She began her career as a Data warehouse ETL Developer and in the past 17 years has worked across multiple organizations, in different geographies like India, UK ,Netherlands and multiple locations in USA, implementing small scale and Enterprise Wide implementations of Business Intelligence, Visualization Management and Analytics Solutions.

At Airbus, since August 2018, she has been working at building an industrialized cloud based Analytics platform that address the needs of different Business Units - including Engineering, Manufacturing and Corporate Functions to address their Analytics needs and build automated, robust and scalable solutions that are truly self-service.

David Wright

Dr. David Wright

Chief Data Officer for Wichita State University

"Data analytics and WSU's Institutional research"


This session will highlight how Wichita State University uses analytics to inform decision-making.  From data governance, data quality, and data/reporting standards, to system design and development, to analytics for identifying risk, intervention and forecasting, all within a scalable and agile real-time delivery.


Dr. David Wright oversees the Office of Planning & Analysis, academic data systems, the Business Intelligence and Predictive Modeling system, data warehousing and university reporting.


  • Oversees the governance, content and use of all university enterprise data
    systems related to informational assets.
  • Serves as senior data architect for data warehousing and senior data scientist for
    analytics related to operational units.
  • Oversees implementation of new and modified software systems to ensure data
    integrity, validity and integration with university data systems.
  •  Manages data and reporting standards for ERP and non-ERP systems including
    compliance and data quality.
  • Manages development of Academic Affairs analytic assets used for internal
    planning and reporting including the Business Intelligence and Predictive
    Modeling system.
  • Oversees the data warehousing and reporting group.
  •  Oversees the Office of Planning and Analysis (OPA).


Alan W. Young

Vice President, Spirit AeroSystems, Inc.

"Leveraging Data Analytics for Decision Making – Spirit AeroSystems Fabrication."


Data Analytics is an increasingly popular topic in the business world. The definition of good analysis is different for each stakeholder. The decision-maker will value analytics that provide data that is clearly explained, succinct, and easy to use.  By collaborating with decision-makers, the analyst’s
goal should be to provide analysis that accurately reflects actual processes or answers relevant questions.  But can this be accomplished in the real world?  Spirit Aerosystem’s Fabrication team has laid a firm foundation of data availability and process knowledge. This knowledge provides a strong framework for using Data Analytics to enhance decision-making which has yielded significant results. Specific examples covered will include solving shortages, improving scheduling and flow, commodity analysis, manpower planning model, metric and dashboard development and automation, and data availability. These initiatives have been driven by a commitment to making data driven decisions and are fundamental to the success of Spirit AeroSystems’s Fabrication team.


Alan Young is the Vice President of Fabrication, a position he assumed in September of 2016. Previously he held the role of Vice President & Chief Procurement Officer for Spirit’s Global Supply Chain Management organization. Prior to joining Spirit AeroSystems, Mr. Young held a number of positions with Bombardier Aerospace and Vought Aircraft since 1986. Most recently, he was with Bombardier-Learjet Operations as Vice President responsible for the build, delivery, and customer management of all Learjet models. He also served as the GM of Operations for the Bombardier-Learjet 85, with responsibility for production, methods engineering, quality, and procurement. Mr. Young earned his bachelor’s degree in Economics from Queens University in Belfast, Northern Ireland, and then his master’s degree in Manufacturing Management from the University of Ulster in Belfast. He also holds a Certificate in Production and Inventory Management, and is a Six Sigma certified Green Belt.

Faculty Research Presenters

Brian Amos

Professor, Department of Political Science, Wichita State University

"Research Project: Redistricting Using Voting Districts geometry"


By the the time of the conference, the Florida Election Science Team ( will have a complete precinct map paired with election results for the entire nation as of the 2016 elections. (We do need to change the name, now that I am no longer in Florida.) The data themselves are interesting, but there are a lot of interesting uses that I could touch on. Redistricting is the main angle: Dave's Redistricting App ( has been loading up our data as we've released it, and it has become very useful for the court-ordered North Carolina redistricting process that is happening right now. We've also been getting funding to do our collection, with an eye towards 2021/2022 redistricting analysis. In more specific terms, I'm thinking of a presentation that would partly address the scope and methods of the collection, that would then be followed by some of these use cases.

Abu Asaduzzaman

Associate Professor, Department of Electrical Engineering and Computer Science, Wichita State University

"A Real-Time Imaging System to Assist Surgical Procedures"


A Real-Time Imaging System to Assist Surgical Procedures: In various applications, including breast cancer treatment, image processing is the basis for computer-aided diagnosis. Many surgical procedures including those used in breast cancer treatment may take advantage of being guided by imaging technique. However, the image-guided surgical procedures suffer from extensive processing time and inaccuracy in processing. Various computing tools, such as graphics processing unit and matrix laboratory, are developed to achieve high performance in processing complex big data problems. Recent development in computer science, engineering, and technology motivates us to propose a real-time imaging system to support complex surgical procedures.

James Beck

Assistant Professor, Department of Biological Sciences, Wichita State University

"Genomics research and teaching using the K-State Beocat cluster"


My research into plant diversity and evolution increasingly involves the analysis of large genomic datasets. After the demise of the WSU High Performance Computing cluster I began using the Beocat cluster at Kansas State University. Beocat is available without cost to any educator in the state of Kansas, and I have found their system and support to be outstanding. Beyond my own research needs, I also heavily incorporate Beocat into my “Computing for Biologists” course in the Biology Department. Brief examples of teaching and research applications will be presented.

JaeHwan Byun

Assistant Professor, School of Education, Wichita State University

"Learning Analytics; Where are we now? And where are we going?"


Title: Learning Analytics; Where are we now? And where are we going? Proposal: Since the concept of analytics was introduced in the field of education, learning analytics became one of the hottest topics in the area nowadays. However, it is also true that the concept is still vague to many educational researchers and practitioners. This presentation tries to clarify first the meaning of learning analytics by comparing it with several similar concepts that may make them confused, such as data analysis, educational data mining, and statistic techniques. And then, the current research trends about learning analytics will be reported with the benefits and issues when applying it in the educational practice.

Terrance Figy

Assistant Professor, Mathematics, Statistics and Physics, Wichita State University

"Simulating Higgs Boson Production Utilizing WSU’s BeoShock High Performance Computing Cluster."


I will give an overview of the BeoShock High Performance Computing Cluster (HPC) at Wichita State University and, recently, discovered Higgs particle.I will show the audience how the simulation of scattering processes involving the production o Higgs particle can be performed utilizing the BeoShock HPC system and present results of simulations of a performed using the BeoShock HPC system.

LaDonna S. Hale

Professor and Director of Assessment, Department of Physician Assistant, Wichita State University

"Quality of Physician Assistant programs"

William Miles

H. Russell Bomhoff Professor of Economics, Department of Economics, Wichita State University

"Regional Convergence"


Previous studies on regional convergence in the US have employed varied methodologies and yielded different conclusions. Some authors report evidence that convergence has grown stronger in recent decades, while others find recent years have seen an end to convergence. We test for convergence with a method that allows for structural change. We find, first, that there is little overall evidence for convergence within the US. Results also indicate a series of positive breaks in the 1980s, indicating movement away from convergence was pronounced during this decade. Diverging housing costs may have played a role in limiting convergence.

Linda Moody

Assistant Teaching Professor, School of Nursing, Wichita State University

"Collect, Input, Report, Repeat...How to Use Data to Impact Patient Care"

Semih Tartaroglu

Associate Professor, Department of Finance Real Estate and Decision Science, Wichita State University

"Insider Trading and Net Order Flows: The Case of Technology Bubble"


Insider Trading and Net Order Flows: The Case of Technology Bubble This study makes a comprehensive application example on utilizing intraday market data (big data) in Finance research and prescriptive analytics tools such as time series and cross-sectional regressions. The study utilizes autoregressive regressions on well-constructed insider trading variables over eight years around burst of technology bubble to make the case that there was abnormal insider trading activity prior to burst of bubble. The study processes billions of intraday trades by matching trillions of intraday quotes for 1350 stocks over four-year bubble period using Lee and Ready (1991) algorithm to construct weekly Net order flows. The cross sectional analyzes of Net order flows and insider trading activity concludes that markets did not take into account the informative signals from abnormal insider trading activity during the rise of technology bubble. Full Working paper is available at

M. Jason Vandecreek

Special Projects Associate, Community Engagement Institute, Wichita State University

"The influence of open source infrastructure in data sciences"


A thriving, open ecosystem for modern data analysis tools creates many opportunities. We will examine the influence of open source infrastructure and how this has accelerated the state of the art in data sciences. What advantages this provided to our team at WSU and how it may advance public understanding of insights from data. Examples of research projects, data workflows, and the importance of effective communications design and strategy will be demonstrated.

Software/Hardware Presenters
Jennifer Akers

Jennifer Akers

Lead data scientist, AccuWeather

"PowerBI: bringing data to life though beautiful visuals"


We've all heard a picture is worth a thousand words, but how does that translate to analytics, data science, and business intelligence? Big data and analytics is a hot topic across industries with leaders in industry, academia, and government all looking to harness the power of data. To make your analysis insightful and useful, you must be able to effectively communicate results. Having visuals that are compelling and beautiful is key to communicating your data to your audience. During this session you will learn best practices for creating visuals and how to apply those practices to PowerBI software. Come see examples of best-in-class dashboards during this informative demonstration!


Jennifer Akers joined the data science team on March 2015, and is currently lead data scientist for AccuWeather where she performs analytics for Fortune 500 companies and a global consumer audience. She has a Bachelor’s degree in Psychology and a Master’s degree in Sociology from Wichita State University. The sociology program at WSU is strong in statistics and provides a firm foundation in data management, transformation, analysis, and presentation—core skills of a data scientist. Jennifer has worked on several projects including applications of machine learning to improve weather forecasts, extracting insights on AccuWeather's global API usage data, using advanced statistical modeling to optimize ad revenue, and creating new data products and services. Jennifer is skilled in machine learning and big data management and uses a variety of tools including Python, R, SPSS, Azure, and AWS.


Daniel Andresen

Professor, Kansas State University, Department of Computer Science

"How to use BeoShock"


We plan to provide a general overview of HPC resources on campus, followed by a tutorial on how to use BeoShock. Workshop topics will include basics of logging in, compiling/debugging programs, using the scheduler, and file management. We encourage attendees to bring their laptops and participate.


Daniel Andresen is a professor of computer science at Kansas State University and director of the Institute for Computational Research. He received a bachelor’s degrees in computer science and mathematics from Westmont College in 1990, a master’s in computer science from California Polytechnic State University in 1992, and a doctorate in computer science in 1997 from the University of California, Santa Barbara. Upon completing his doctorate, he joined the faculty at K-State as an assistant professor.

At a high level, Andresen’s research is in distributed systems, ranging from sensor networks monitoring bovine health levels to high performance computing systems. His research often intersects with his role as director of the Institute for Computational Research in Engineering and Science, which works to build the cyberinfrastructure foundation to allow K-State to successfully compete at the national level as well as oversees campus research HPC clusters including K-State's Beocat and the new BeoShock system at WSU .


Dr. Soon C. Lee

Assistant Professor, School of Education

"Tensorflow: Free and Open-source tool for Machine learning."


TensorFlow is a tool for deep-learning which is a type of Machine Learning (ML). TensorFlow is a free and open-source software library for data-flow and differential programming across a range of tasks. It is a symbolic math library and is also used for machine learning applications such as neural networks. This presentation will also introduce a couple of basic network architectures including dense, convolutional and recurrent networks, and training techniques such as dropout or batch normalization. This session will also show some examples that demonstrate how ML can be integrated in K-12 Education.


Dr. Soon C. Lee is an assistant professor of STEM education in the School of Education and the co-facilitator of the Interdisciplinary STEM Education Graduate Certificate Program. Dr. Lee teaches undergraduate and graduate-level STEM education courses. He has also served as PI or Co-PI on several
K-12 teacher training and research projects funded by state or federal agencies.


Saideep Nannapaneni

Assistant Professor, Department of Industrial, Systems, and Manufacturing Engineering, Wichita State University

"Introduction to analytics with Python"


Recent advancements in data collection and storage have led to the availability of huge amounts of system-related data that can be used to provide additional insights to its performance. Data analytics is the process of analyzing data to provide insights and inform the decision-making process to improve a system’s performance. The talk covers three types of analyses that are generally performed to inform the decision-making process: (1) data pre-processing, (2) model building, and (3) data visualization. The talk provides an introduction to the tools available in the Python programming language for data pre-processing, model building, and data visualization.


Saideep Nannapaneni has been an Assistant Professor with Industrial, Systems, and Manufacturing Engineering at Wichita State University since Spring 2018. He received his Bachelor’s degree from the Indian Institute of Technology Madras in 2012, Master’s and PhD degrees from Vanderbilt University in 2015 and 2017 respectively. His areas of interests are in data analytics, reliability analysis, and health monitoring with applications to industrial, aerospace, and mechanical systems. He is a member of the Institute of Industrial and Systems Engineers (IISE). He teaches courses on engineering statistics, descriptive analytics, reliability engineering, and uncertainty quantification.

wichita Lulu Williams
wichita Kayla Graff

Lulu Williams;

CORTEX Product Owner, EFT Analytics

Kayla Graff

Advanced Analytics Process Engineer, EFT Analytics



CORTEX is our inventive, disruptive platform that drives profit through increased production and decreased downtime. It takes historical data, analyzes it, learns from past issues and pinpoints the causes. But that’s not all, CORTEX also uses machine learning and real-time visualization to provide predictive, descriptive and actionable insights that allow for teams to optimize processes like never before. By pairing powerful algorithms with edge computing and scalable cloud architecture, CORTEX enables subject matter experts to develop data science skills that pinpoint issues, predict solutions and optimize their facility’s full potential. CORTEX delivers results in three key areas: root cause analysis, event prediction, and optimization. This demonstration will discuss how CORTEX has been used in industry today as well as information on building such a platform from our product owner.


Lulu Williams began her career at Koch Industries in 2011 in the Data Governance Compliance area. Lulu drove Innovation efforts in the area of information Management by helping the business automate processes, thus freeing employees to focus on higher value activities. After 4 years of experience in regulations around Data Management and Data Privacy, her passion for Innovation and all things data led her to pursue a M.S. in Business Analytics from Oklahoma State University. With the acquisition of EFT Analytics by Koch Industries in 2016, Lulu began to focus on Data Science and Machine Learning.  As an Advanced Analytics Engineer, Chemical Engineers leveraged her knowledge in data science to drive customer success. In the summer of 2018, Lulu joined the Data Science Research and Development team to help inform and contribute functionality for EFT’s advanced analytics software, CORTEX. Lulu received a Product Owner certification in September of 2018 and became Product Owner of CORTEX in November of 2019. Lulu’s continued focus is to empower subject matter experts to leverage the power of machine learning without requiring data science domain knowledge. Lulu enjoys learning about robotics, 3D printing and playing music with her two daughters.

Kayla Graff is an Advanced Analytics Process Engineer with EFT Analytics, where she has worked in EFT Analytics’ service team for the past year. In her role with EFT, Kayla is responsible for being the primary interface with customers and completing collaborative analytical work to develop deliverable solutions. Prior to joining EFT, Kayla worked for Flint Hills Resources in Port Arthur, TX. Kayla is a Chemical Engineering Graduate from Kansas State University.

Poster Presenters

We will showcase the work of student researchers from across the WSU campus. To submit a poster follow this link.