"Unraveling complex patterns from data is key to advance biomedical discovery. Modern AI offers the tools to accomplish that."
I trained as a statistical physicist researching emergent behaviors for many body systems. I did my post-doctoral training at the Carl Woese Institute of Genomics and MIT, where I analyzed different kinds of biological data, combining conventional statistics with mathematical and predictive modelling. In 2018 I joined the Broad Institute of MIT and Harvard to lead our deep learning effort for building the Human Cell Atlas. In 2021, I moved to Genentech to run the AI/ML department in Research Biology. In my parallel life, I pursue my interests in writing open source software, cybersecurity, and developing the Linux system.
Postdoctoral Mentor
Post-doctoral years are a unique time where a scientist has enough experience to develop their own direction without the responsibility of a group leader. These transitional years can be challenging. But with the proper mentorship and guidance, one can learn how to develop their ideas into a mature research program. As a dedicated mentor, I commit a substantial part of my time to help my postdocs identify key questions in drug development where they can develop cutting-edge algorithms. Our team has deep expertise and is embedded within the leading drug development community.
biorxiv 272831v3 (2020)