Katie Adastra

Principal Consultant at North Highland

Katie Adastra leads Growth & Partnerships in St. Louis for North Highland Worldwide Consulting.  Katie has more than a decade of experience developing culture and processes in life science organizations, including leading agile transformation at a Fortune 500 organization.   She holds a Ph.D. in Development, Regenerative & Stem Cell Biology from Washington University in St. Louis and a B.S. in Zoology from Southern Illinois University in Carbondale. 

Peg Blyth

Bayer Crop Science

Kris Crichton

Equifax

 

Kris Crichton is the VP of Sales & Account Management at Equifax Workforce Solutions, where she leads a team of sales and account strategists in solving business challenges HR Technology and Data Analytics solutions.   Prior to Equifax, Kris was with MasterCard and held two executive leadership roles as the VP of Sales & Account Management and the VP of Professional Services and IT Operations. She is a proven leader with $100M P&L experience in technology, financial services, healthcare, and consulting industries.  

Kris has her MBA from the Olin Business School at Washington University in St. Louis and her Bachelors in political science and marketing, from Murray State University in Kentucky.  An avid traveler, Kris has a passion for “getting lost” in new cities.  If you’re ever stuck in an elevator with Kris, she would keep you engaged with conversations on philosophy, politics, and pop culture.  Kris is a native from St. Louis, but has lived in many states, most recently San Francisco, CA, where she spent 11 years.  Kris moved back to her hometown of St. Louis in 2012, and lives in University City with her 7-year old son and fellow adventurer.

 

Sami Cheong

Bayer Crop Science

Lingxiu Dong

Olin Business School, Washington University in St. Louis

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.

Julia Honold

Bayer Crop Science

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 Vice President of Meetings for 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.

Dawn King

Slalom

Leslie McIntosh

Executive Director, Research Data Alliance-US
CEO, Ripeta


Dr. Leslie McIntosh currently serves in two positions. She is the inaugural Executive Director for the Research Data Alliance – US (RDA-US), which is part of a global organization developing recommendations for data sharing and interoperability. She is also the founder and CEO of Ripeta, LLC, a company formed to improve scientific research reproducibility.
Before transitioning as the CEO of
Ripeta, she spent 10 years at Washington University in St. Louis (WU) as the Director of Center for Biomedical Informatics (CBMI) serving the WU Center for Translational and Siteman Cancer Center. In that capacity, she led a dynamic team of 25 individuals (one-half of whom identify as women) and a multi-million dollar annual budget facilitating biomedical informatics services including the software and service development to assess and improve the full biomedical research cycle.
Dr. McIntosh has experience leading diverse teams to develop and deliver meaningful data to improve scientific decisions. She is an accomplished data scientist and an internationally known consultant, speaker, and trainer who is passionate about mentoring the next generation. 

Alda Mizaku

Director of Analytics Program at Mercy

Alda has a Biomedical Engineering background – focus on Computer Aided Diagnostics (cancer).  She worked in high throughput genomic analysis.  Founded a FIRST Robotics Team at Ladue High School.  At Mercy she focuses on analytics for patient health and experience by partnering with Service Line Leaders to drive their operations with data and prioritize value driven measures.  Alda is a Super Nova Award on Clinical Documentation Improvement.

Sabine Roduit

CIO of North America, Nestlé

Beginning her career with Nestlé in 1998, Sabine Roduit has climbed her way from highly technical roles to now Chief Information Officer (CIO) at Nestlé GLOBE IS/IT North America—Nestlé’s regional tech hub newly based here in St. Louis. Originally from Switzerland, she has taken her career around the world through a variety of key roles from change and release management to integration, program management, global application technology solutions, service and delivery, and currently serving as CIO—the visionary behind IS/IT at Nestlé. Sabine’s passion and leadership position her to engage the entire organization to deliver projects and organizational transformation initiatives that will change the future of Nestlé.

DeAnna Tipton

Data Scientist, Nestle


DeAnna Tipton is a Data Scientist for Nestlé North America where she manages predictive analytics projects for multiple departments 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.
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.

 

Tamarah Usher

Slalom
 

Tamarah Usher has a twenty-year career in technology consulting that includes data science, design, and strategic foresight.  Her roles on a wide variety of initiatives have helped companies realize competitive positioning, cost savings, and increased market share through business transformation.  Ms. Usher is known as an outstanding leader and team builder with a passion for collaboration and novel approaches to customer-centric solutions.  She has a business and communications background and consistently demonstrates creative, organizational, analytical and facilitation skills with a focus on business value and impactful results. Tamarah is committed to diversity and inclusion initiatives and helps women start careers in technology and data science at Launch Code.   

Dr. 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. 

Lana Yeganova

National Center for Biotechnology Information, National Library of Medicine, NIH

Dr. Lana Yeganova is a Scientist at the Computational Biology Branch of the National Center for Biotechnology Information (NCBI) at the National Institutes of Health (NIH). Dr. Yeganova holds a Doctorate in Mathematical Optimization from the George Washington University. Her work at NCBI has addressed a wide span of problems, ranging from information extraction and text mining to clustering and thematic analysis, to knowledge discovery and integration, resulting in the design of novel efficient algorithms for working with large datasets. Her most recent research focus has been at improving PubMed user search experience, in particular, understanding the intent of user queries, and has been integrated into PubMed search. 

Angelique Zeringue, PhD

Lead Statistician
Mercy Health

Angelique Zeringue PhD works for Mercy Healthcare as the lead statistician / data scientist in the data science team at Mercy’s Virtual Care Center. In her current role, she continues to do some hands-on analytic work while providing mentorship and guidance to her team on such diverse projects as evaluating pre-post program outcomes, patient selection algorithms, and sepsis prediction / early identification. Angelique has worked on numerous data platforms, from SAS to Oracle to Hadoop. She programs in multiple languages and has taught statistical modeling and SAS programming at the graduate level. Prior to Mercy, she worked in research for over a decade at Washington University Medical School and the VA Medical Center. Angelique’s data analytic work included data management, study design, statistical programming, and statistical analysis for projects covering a wide range of clinical outcomes and diseases. She has co-authored numerous research papers and a book chapter.

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