Kristin (Feeney) Kostka, MPH
Head of the US Remote Study Network
Kristin is the Head of the US Remote Study Network for IQVIA. Her day-to-day job is centered around driving more US participation in network studies.
Prior to joining IQVIA, Kristin was a Data Science Lead for ConvergeHEALTH, a division of Deloitte Consulting LLP. Kristin has a decade of hands-on time in the trenches of healthcare and life sciences leading real world evidence general to studies, designing and implementing enterprise data lakes, conducting large-scale multinational clinical trials and preparing regularly submissions.
Kristin’s been an OHDSI groupie since she attended the first US Symposium in 2015. Since then she’s been a perennial member of the Symposium Planning Committee and regularly participates in OHDSI network studies. Her passion project is the idea of “studies on studies” — evaluating the best way to disseminate evidence once its generated. 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.