Shana Posy joined the Bristol-Myers Squibb Computer-Aided Drug Discovery group in 2008 and manages a team of modelers supporting diverse projects. She collaborates with chemists, crystallographers, and protein scientists to advance small molecule therapeutics for immuno-oncology and immunology targets. She has a passion for developing novel ways to probe and predict SAR, including matched pairs and deep learning methods. Shana has contributed to two clinical candidates and many patents.
Prior to BMS, Shana completed her PhD in structural bionformatics at Columbia University as a Howard Hughes Medical Institute Fellow. She enjoys teaching and mentoring younger scientists from grade school through graduate school – including at least some of her children - and volunteers for a variety of community initiatives.