Kristin Feeney Kostka, MPH
Data Science Lead
Kristin is the Data Science Lead for ConvergeHEALTH, a division of Deloitte Consulting LLP. She specializes in clinical data science for real world evidence generation and translational research. Kristin’s most recent work focuses exclusively on using artificial intelligence to better clarify patterns of disease.
Kristin is the self-appointed (and still uncontested) Global OHDSI Lead for Deloitte involvement. She collaborates within the symposium organizing committee working group and attends community calls. Day-to-day, she works with Life Sciences companies to adopt and deploy the OMOP CDM alongside other leading industry data standards to advance real world evidence generation studies. Kristin’s primary research interests are in population-level estimation and patient-level prediction, specifically leveraging next generation machine learning methods (i.e. deep learning models on the CDM). Kristin holds a Bachelor’s degree in Exercise Science from Elon University and a Master’s in Public Health in Epidemiology from Boston University School of Public Health.
Kostka K. Beyond the Hype: How Do We Define “Value” from Deep Learning Models in Real World Data? IMPACCT RWE, Boston, MA. Sep 26-27, 2018.
Burnett S, Feeney K. Advanced Cognitive Algorithms – Interactive Session. Big Data and Analytics for Healthcare & Life Sciences Summit 2018, London, UK. March 21, 2018.
Burnett S, Feeney K. Real World Evidence Generation with ConvergeHEALTH Miner. Experience Analytics 2017, London, UK. November 14, 2017.
Biswas P, Feeney K. Workshop: Applying Advanced Cognitive Learning Algorithms in the Life Sciences Industry. Big Data and Analytics for Healthcare & Life Sciences Summit 2017, Philadelphia, PA. Nov 1-2, 2017.
Feeney K, Housman D. Building Deep Learning Models for Real World Evidence. Big Data and Analytics for Healthcare & Life Sciences Summit 2017, Philadelphia, PA. Nov 1-2, 2017.
Feeney K. Real World Evidence Solutions at Deloitte: ConvergeHEALTH Miner and the Global OHDSI Community Involvement. Deloitte Global LSHC Data Scientists Council 2017, Tel Aviv, Israel. October 24-26, 2017.
Al-Qahtani N, Feeney K, Natarajan K, Po MJ, Rao G. Stakeholder Perspectives on the Journey Ahead. OHDSI Symposium 2017, Bethesda, MD, October 18, 2017.
Andryc A, Feeney K, van Bochove K, Natarajan K. Case Study: The Observational Health Data Sciences & Informatics (OHDSI) Collaborative. BioIT World 2017, Boston, MA. May 23-25, 2017.
Feeney K, Matheny M, Park RW, Perotte A, Reich C, Reisinger S. Where are we on the journey right now? How did we get here? OHDSI Symposium 2016, Washington, DC, September 23, 2016.
Feeney K, Sobti R, Anantha S, Kurapati VC, Sharma A. Extending Open Source OHDSI Analytics Applications to Enable Automated Data Characterization of Clinical Trials Data. BioIT World 2016, Boston, MA. April 5-8, 2016.