I am the Principal Research Scientist at KenSci Inc. and Affiliate Associate Professor in the Department of Computer Science at University of Washington. Previously, I have had academic appointment at the Department of Computer Science at University of Minnesota, Center for Cognitive Science at University of Minnesota and the Indian Institute of Technology – Kanpur. I have also worked in applied machine learning in a number of industries. My focus is mainly on AI/ML in Healthcare.
My current research is in FATE (Fairness, Accountability, Transparency, Ethics) explainable AI / interpretable machine learning, application of Artificial Intelligence in Healthcare.
– [December 2019] I am giving a talk (Holding Machine Learning Systems Accountable via Explanations) with Dr. Carly Eckert at University of Washington School of Medicine’s Bioinformatics and Medical Education Seminar
– [December 2019] I am a finalist in the Health Innovation Northwest’s 2019 Health Innovators of the Year award
– [November 2019] I have a CRAFT Panel accepted at the ACM FAT Conference
– [November 2019] I am giving a talk on Requirements and Limits of Explainable AI in Healthcare Clinical and Translational Science Institute at the George Washington University
– [November 2019] I am co-chairing the Responsible AI for Healthcare track at the AI for Social Good Symposium in Washington D.C.
– [October 2019] I am giving a talk Using AI to Simulate the Dead on October 17, 2019 at the Washington State History Museum
– [October 2019] I am giving a talk at the Global AI Narratives in Middle East and North Africa workshop in Cairo, Egypt organized by the American University of Cairo and University of Cambridge
– [August 2019] I am co-chairing Heath Day at KDD 2019 and also co-organizing the Data Science in Healthcare workshop in Anchorage, Alaska
– [June 2019] I have a short paper accepted at AISafety Workshop at IJCAI’2019
– [June 2019] I am co-organizing a symposium on AI for Good as part of the AAAI’s Fall 2019 Symposium series
– [April 2019] I am giving a tutorial on Interpretable Machine Learning: What Clinical Informaticists Need to Know with my colleague Dr. Carly Eckert at AMIA’s Clinical Informatics Conference
– [September 2018] I am giving an online invited talk with colleagues at KenSci on Explainable Machine Learning Models for Healthcare AI as part of the ACM’s Web Seminar Series