Attending this event?

You can now use the Sched app to start planning your conference experience by selecting the sessions you are most interested in. Please only select sessions for the conference day(s) you are registered for (indicated on your Eventbrite registration).

Log in to bookmark your favorites and sync them to your phone or calendar.

Thursday, September 26


Friday, September 27


DSU Success Stories Panel - Becoming a Data Scientist @ UHG/Optum TBAMarc Paradis • Diana DeSoysa, MBA • Austen Hendler • Daryl Furuyama, MBA • Nicholas Stuber, MS Executive PanelFawad Butt • Steve Griffiths, PhD, MS Scaling Artificial Intelligence at Optum with OptumIQ StudioSanji Fernando • Josh Cutler • Dan Mulcahy, MS, MBA • Jeremy Kingston Showcase: Ten Emerging Startups using Technology to Improve HealthcareMatthew Miller, PhD Beyond Mining and Factories, it's back to the Farm TBARussell Rogers Data Visualization Design Essentials TBAKristan Hodge, MS The Future of Women in Analytics TBADiana DeSoysa, MBA Assessing the Financial Value of OptumRx TBALeonard Fensterheim, MPH • Alexa Ehlert Data Literacy and Democratization of Data in the 4th Industrial RevolutionJacob Dockendorf Machine learning in the Clinical Innovation Laboratory (CIL): Identifying disease before it's recognized or progresses TBAJeffrey Hertzberg, MD, MS OptumLabs Work Impacts Team Member's LifeAylin Altan, PhD • Rick Little Shenanigans for Fun and Profit (Lessons Learned in 50 years of analytics practice and strategy)Brad Elo • Bonnie Holub, PhD UHC Data & Analytics Landscape TBAFawad Butt Univeristy Partnerships for Analytics TBAHolly Biernacki Addressing Social Determinants of Health TBAJana Gunn AI driven Smart Provider CommunityAbhay Shukla, MS • Ajay Lakshman Analytics and Clinician Care in the Emerging Era of Digital Engagement TBAKristen Edsal, MSN • Matthew Byrne Being in the Driver Seat with NPS TBAEdward Smeal • Diane Richards Clinical Data Intelligence enabled by AI TBAZhijing Liu Copay or Not Copay? That is the question. TBAMichael Edwards Data Science = Computer Science or Statistics? TBAJean de Traversay Data Science Isn't Just A JobPeter Wang Digital tools driving changes in customer behavior TBAJonathan Foltz, MBA • Gregory Becker Fighting Fraud with a Combination of Business Acumen, Analytics and Culture Principles TBARyan Breisach, MBA • Cynthia Feickert Finding and threading Navigate4Me needles: analytically operationalizing a vulnerable cohort programDestiny Babjack, PhD Identify active dialysis patient in commercial population TBAAlan Wang IQ Studio Workbench: Experiment to Production TBASaurav Gupta • Josh Cutler Linking chemotherapy prior authorization and claims data in order to examine real world outcomes and total costs of care in a web-based platform TBAStephanie Korrer, MBA, MPH • Kevin Sundquist, MS Moving toward application-based custom NLP TBADave Anderson OPTUM Intelligence at Scale TBAHendrik Kleine, MBA OptumIQ Studio and Data Science University2.0 TBAMarc Paradis Querying and learning from large clinical and claims datasets: building a next-generation clinical data lake with Apache Spark and Delta LakeFrank Austin Nothaft, PhD, MS Savings, Healthcare Utilization, and Health: The Influence of Health Savings Accounts TBAXiaodan (Melody) Mai, MBBS, PhD Self-Service Reporting and Analytics in a Healthcare EnterpriseDaniel Bock, MBA • Mahbub Zaman, MS, MBA Take time to walk the catwalk – do you like what you see if you think like a manufacturer? TBABrian Cariveau Targeting a better population for omni channel care management TBALindsay Hall, PharmD • Thomas Dow The Future of Physician Performance Measurement TBABrent Metfessel, MD, MS Utilizing Data to Enhance the Prior Authorization Review Process for PCSK9 Inhibitor Therapy TBADeesha Patel Automatic Speech Recognition TBALia Solis Genetic risk stratification. Strategies, ethics, and policy. TBATaryn Hall Introduction to NewSQL (Distributed SQL)Janani Pathangi Learn how to explore your data with Kibana and ElasticsearchMike Heldebrant, PhD Natural Language Processing and Topic Modeling to Discover Themes in Agent Notes and Inform Subsequent Outreach TBAMcKensie Rainey OptumIQ Studio Collections: Machine Learning at Scale TBASergey Ivanchuk • Jacob Vincent Scikit-learn's transformation abilities: more than meets the eye TBAJake Mason Social Media Crisis Prediction TBADavid Bierer, MS Towards More Accessible Precision Medicine: Building a More Transferable Machine Learning Model to Support Prognostic Decisions TBAEra Kim, PhD Predict Medicare member lapse during annual enrollment period using Extreme Gradient Boosting methodKim Eng Ky • Matthew Stearns, MS Project Athena: Rally’s Next-Generation Data Platform TBAJarrell Waggoner Synthetic Patients - A Deep Learning approach TBAJayanthi Suryanarayana