Dr. Alfa is Senior Vice President, Translational Discovery and Chief Evangelist at Recursion Pharma where he manages Early Commercial strategy for Recursion’s discovery portfolio and evangelism of Recursion’s mission to decode biology to radically improve lives. Prior to Recursion, Dr. Alfa trained in science and medicine at Stanford University where he also worked closely with biotech startups at Stanford affiliated accelerator StartX. He has made scientific contributions spanning Neurosciences, Metabolism, and Genetics and is passionate about Recursion’s approach to unlocking drug discovery for human genetics using AI.
The pharmaceutical industry is applying a data science approach combined with active machine learning in various areas which include the integration of experimental work and computational modeling, automation, big data analytics, and informatics. This session will focus on pharma preparations and applications of AI and Machine Learning across drug discovery and development. Various examples will demonstrate how pharma is harnessing the opportunity of large data sets to predict and improve translation of preclinical findings to the specific human disease conditions to be evaluated in clinical studies.