Kay Apperson

Architect and Strategist, Microsoft

Kay Apperson is an award-winning data scientist with comprehensive experience and training in computer engineering, computer science, statistics, and data systems. She is a non-conventional IT knowledge worker in the sense that she enjoys working with business and other IT folks, in addition to working quietly to solve data problems on her own. Kay believes there is a motivation behind everything data scientists do with data, and her ability to build a story and shape business values comes from years of exposure to constructive questions in research, with special thanks to her neurologist boss at Harvard Medical School. Kay is currently an Architect and Strategist in the U.S. manufacturing vertical at Microsoft working mainly in the field of AI and Predictive Maintenance for quality, efficiency, and safety. Everything she does touches IoT, Big Data, ML, and Software Engineering.


Sami Cheong

Data Scientist, Bayer Crop Science

Sami Cheong is a data scientist at Bayer’s Crop Science division. She works cross-functionally with experts in agronomy, environmental sciences, bioinformatics and IT to help reach the company’s goals in sustainable agriculture by building innovative digital tools. Since joining Bayer, Sami has been an active part in the company’s Data Science community and served as a co-lead for it’s internal Women in Data Science initiatives which aim to build a more connective, collaborative and inclusive work space through advocacy of talent, community outreach, and technical training. Sami received her Ph.D in mathematics in 2016 from the University of Wisconsin in Milwaukee and is currently pursuing her MBA at Washington University’s Olin School of Business. When not working, Sami enjoys playing musical instruments, annoying her cats and attempting to bake overly sweet things.


Kaitlin Daniels

Assistant Professor, Washington University in St. Louis' Olin Business School

Kaitlin Daniels is an assistant professor in the operations group at Olin Business School. She studies new “gig-economy” marketplaces for labor, like those created by the platforms Uber, TaskRabbit, and Postmates. She uses a mix of analytical and empirical tools to examine the optimal design of incentives in this setting and the welfare implications of these new work arrangements on consumers and workers.  Before joining Olin, Kaitlin received a B.Sc. in Mathematics from Duke University and a Ph.D. in Operations Management from the Wharton School of the University of Pennsylvania.


Lingxiu Dong

Professor, Washington University in St. Louis' Olin Business School

Lingxiu Dong, Ph.D., is a professor of Operations and Manufacturing Management at Olin Business School, Washington University in St. Louis. Her interests in supply chain management include the design and optimization of supply chain, the use of operational flexibility in various supply chain contexts, and sustainability issues.


Katrina Drinnon

Data Scientist, Lexicon

Katrina Drinnon is a Data Scientist at Lexicon. Katrina holds a J.D. and an M.S. in Business Analytics from Michigan State University, and specializes in designing analytics and machine learning solutions for legal process improvement and access to justice. Lexicon is a legal services and technology provider with deep expertise in the legal industry. At Lexicon, Katrina and her team are working to build reporting and predictive analytics to help attorneys manage their law practice and liberate law firms to do more of what they do best.



Qinglin Duan

Data Scientist, Bayer

Qinglin Duan is a Data Scientist at Bayer Crop Science, contributing to creating optimization solutions to enable better decision making on key business needs across functions such as "Applying Operations Research in Trait Introgression to Improve the Success of Bayer Traited Products". Qinglin holds a Ph.D. in Industrial Engineering from Louisiana State University. She has 5+ years of experience in the optimization domain and analytics. Qinglin is also passionate about talent acquisition and engagement, actively involved in the Institute for Operations Research and the Management Sciences (INFORMS) in a variety of ways. This year, she serves as the recruiting committee chair for the Early Career Professionals' network.


Tonya Ehlmann

Director of Strategic Business Development - Machine Learning, OCI

As Director of Business Strategy Development for the Machine Learning practice at Object Computing, Inc, Tonya Ehlmann works with clients and partners to build technology solutions that connect systems and data, streamline decision-making, and accelerate speed to market through the power of artificial intelligence (AI).  She is a co-founder of alyce.ai. Tonya has nearly twenty years of deep industry experience, recently serving as a key leader for a Fortune 500 agricultural biotechnology company. Tonya also pioneered the application of AI, Big Data, and the internet of things (IoT) to create predictive digital advisers that enable digital farming and create new value. She has a proven track record of building next-level teams where innovation, personal flair, and focused outcomes combine to ignite game-changing creativity that snowballs into industry-changing new value.​

When she's not using technology to light up the world, Tonya focuses on inspiring a high-energy, creative environment where all team members can be their best selves.


Sarah Glickfield

Director of Engineering, Climate Corporation

Sarah leads the team of engineers building Climate’s Data & Analytics Deep Science Warehouse and Model Platform. In this role she has guided her team to deliver the analytics and machine learning Model Platform that enables the groundbreaking digital product Seed Advisor and OBP (Out-come Based Pricing). Both products allow farmers to directly benefit from the advanced data and analytics capabilities that Climate/Bayer have developed over the past two years. OBP is a revolutionary reimagined business model that will allow the farmer and Bayer to share in the risk/reward outcome each year. In Sarah’s tenure at Climate, through collaboration across Science and Engineering functions she has led the creation of a large scale data warehouse and modeling platform that is the standard by which Climate builds and deploys Data Science based products to Climate’s grower customers.


Sariaya Kalu

Data Scientist, Schnuck Markets, Inc.

For a long time, Saraiya didn't know what she wanted to do in life. With a love for theater and dance but also mathematics and science, Saraiya found herself always split between two worlds. At a very young age Saraiya found interest in math because it was always the one thing that was not based on opinion but on facts that could always be proven, at the same time, theater allowed her to bring different people to life and tell their story. Eventually, with the guidance of family, Saraiya decided to pursue a degree in mathematics but a minor concentration in musical theater from Claflin University. With a mathematics degree and a theater minor, Saraiya began to wonder how she could combine her love for understanding people with her love for numbers. Upon graduation, she found a love in using data, specifically natural language processing, to understand customers of Samsung Technologies using online reviews left on various platforms. Using the online reviews, Saraiya was able to segment different reviews into categories based upon the content such as user interface, connectivity issues, and defective products for Samsung to issue software updates or improvements in future models. Currently, Saraiya works at Schnucks Markets as an Associate Data Scientist where she works with her teammates to innovate new ways to nourish our customers lives. She believes the more we can utilize our data on our customers combined with our understanding of the business the better of an experience we can provide our customers.


Maga Khachatryan

CEO, MagAnalytics

Dr. Maga Khachatryan is a Founder & CEO of MagAnalytics, a Data Science and Operations Research consulting company which helps businesses to make better decisions through the use of predictive and prescriptive analytics. Throughout her career, Dr. Khachatryan led a number of analytics projects for Fortune 500 Companies and startups. She was instrumental in developing and successfully delivering complex mathematical models that ultimately optimized business performance and generated value. Dr. Khachatryan received her Ph.D. in Industrial Engineering from Georgia Institute of Technology and her Master degree from the American University of Armenia.
Dr. Khachatryan is actively involved in serving Data Science and Operations Research community. She is elected President of Women in Operations Research and Management Science (WORMS) at the Institute for Operations Research and the Management Sciences (INFORMS), initiated an award to support WORMS,  she also chairs and organizes scientific sessions and practitioners colloquiums at the INFORMS Meetings, mentors young professionals and students who are interested in STEM. She is passionate about inspiring and empowering women in technology and providing every woman with career and growth opportunities.


Yujin Lee

Data Scientist, Schnuck Markets, Inc.

Yujin Lee is a data scientist at Schnuck Markets, Inc. Yujin is passionate about applying advanced analytics to solve business problems. At Schnucks, she collaborates with multiple departments and creates innovative solutions to meet the company's goals. Before joining Schnucks, she worked as a data analyst at Monsanto where she learned agriculture knowledge and as a research assistant where she applied predictive and prescriptive algorithms on Syngenta crop dataset. Yujin is active mentor for students and supporter in women in the data science field. Outside work, she enjoys cooking, art and music.

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Bing Liu

Data Science Lead, Bayer

Dr. Bing Liu is a data science lead at Bayer Crop Science. She leads a team of talented data scientists & statisticians to drive projects that are critical to precision breeding's success. With the wealth of data Bayer has & the exciting opportunities brought by digital agriculture, her team works on challenging & exciting projects utilizing statistics, Quantitative Genetics, Machine Learning, Predictive Analytics and optimization algorithms.

Dr. Liu holds a Ph.D. in statistics from Virginia Tech University.  After graduation, she joined Monsanto as a Statistical Geneticist. Since then, she has been in various positions with increased responsibility.  In 2018, she joined Bayer as part of the Merger. Through her career at Monsanto then Bayer, she worked in three organizations & worked on projects with diverse domains.


Rebecca Lowdon

Data Scientist, Bayer

Rebecca Lowdon is a Genome Data Scientist and leads the Eukaryotic Genomics team at Bayer Crop Sciences. In her current role she manages a team focused on genome assembly, variant discovery, causal variant detection and other genomics analyses. Rebecca received her Ph.D in Molecular Genetics and Genomics in 2016 studying epigenomic modifications that drive development and cell fate acquisition. Before that she worked at the National Human Genome Research Institute (NIH) for two years as a Scientific Analyst and received her B.S. in Biology and Chemistry from the College of William & Mary. Rebecca is passionate about science & data literacy, and teaching & mentorship. She encourages women to explore their interests and relentlessly pursue their goals.

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Caitlin Plein

Director of Global Analytical Training & Support, Enterprise Holdings

Caitlin Plein is the Director of Global Analytical Training & Support at Enterprise Holdings, Inc. In this role, Caitlin is responsible for setting strategy and outlining a roadmap to grow critical data analytics capabilities and competencies across the organization.


Caitlin began her career with Enterprise in 2013 and has held several analytics-focused roles with increasing responsibility, including two years managing the strategic analytics and data science team before moving into her current role. Prior to joining Enterprise, Caitlin worked in data analysis and regulatory review of research at Washington University in St. Louis. She also worked as a senior research analyst for an online media text analytics agency where her major accounts included Walmart, General Electric, Microsoft, and Yahoo. Caitlin received her M.S. in Experimental Psychology from Saint Louis University.


DeAnna Tipton

Data Scientist, Nestlé

DeAnna Tipton is a Data Scientist for Nestlé where she manages predictive analytics projects for multiple departments and functions across Nestle’s global markets. She leads one of the largest tech meetups in the St. Louis metropolitan area, the St. Louis Machine Learning and Data Science Meetup. Through this meetup, she strives to foster a space dedicated to collaboration, diversity, inclusion, and innovation. Recipient of the esteemed St. Louis Business Journal's 2019 30 under 30 award. 
She is passionate about utilizing the power of machine learning for social good, especially to address generational poverty and educational inequity. As a WiDS ambassador, she hopes to inspire and mentor girls from all backgrounds to pursue a career in STEM.


Liberty Vittert

Professor, Washington University's Olin School of Business 


Liberty a Professor of the Practice of Data Science at the Olin Business School at the Washington University in St. Louis.  She is a graduate of MIT as well as Le Cordon Bleu Paris and the University of Glasgow. Liberty is a regular tv/radio contributor to many news organizations as well as having her own TV series on UK television. She is a weekly opinion editorial contributor for the Fox News Channel, and her pieces have been featured in Popular Science, US News, Newsweek, Business Insider, International Business Times, CBS News, MarketWatch and The Conversation. As a Royal Statistical Society Ambassador, BBC Expert Woman, and an Elected Member of the International Statistical Institute, Liberty is writing a popular science book on data science that will be published Fall 2019. She is also an Associate Editor for the Harvard Data Science Review and is on the board of USA for the UN Refugee Agency (UNHCR) as well at the HIVE, a UN Refugee Agency data initiative for refugees.


Aihong Wen

Sr. Director of Data Science, Walmart Labs


Dr. Aihong Wen serves as Sr. Director of Data Science for Walmart Labs. The mission of Walmart Labs is to develop industry-changing innovations to make in-store and online shopping a more seamless experience for millions of shoppers every day. In her role, Aihong leads multiple teams as they support analytics needs for Walmart’s US Supply Chain, Store Operations, Health & Wellness, and Enterprise Services groups. Aihong started her career in technology as a hands-on data scientist, which has shaped her thought leadership and vision in the field over the course of her career. Prior to joining Walmart, Aihong held roles with CSX Transportation, a Fortune 500 company and one of the four Class I Railroads, for which she was a pioneer in introducing data science to the company and railroad industry. Aihong also has other broad experience in data science including working with PROS (Pricing and Revenue Optimization Solutions) and has developed pricing optimizations for many industries with her team. 
Aihong received her Ph.D. in Industrial Engineering and Operations Research from the University of Texas at Arlington. She holds a master’s degree in Operations Research and an undergraduate degree in Mathematics.  She holds one patent and has two pending patents in analytics areas. 


Jessi Wilcox

Candidate Engagement Manager, LaunchCode