Can we use computers to help accelerate the search for new materials? What if we could benefit from the enormous speed and efficiency of machine learning models to make this process faster?
I am a scientist applying state-of-the-art generative modelling techniques to drug discovery tasks at AstraZeneca. Before this, I was a graduate student in the chemical and computational engineering Ph.D. program at MIT, advised by professors Heather Kulik and Youssef Marzouk. My research lies at the intersection of atomistic simulation, machine learning and molecular optimization.
PhD in Chemical/Computational Engineering, 2019
Massachusetts Institute of Technology, Cambridge (MIT)
M.Sc. in Scientific Computing, 2015
Technical University of Berlin, Berlin (TUB)
M.Sc. in Applied Mathematics, 2015
Royal Institute of Technology, Stockholm (KTH)
B.Sc. Eng. Chemical Engineering, 2012
University of the Cape Town, Cape Town (UCT)
Machine learning in chemistry
Together with Aditya Nandy and Nick Yang, I have put together a workshop covering the basic ideas of machine learning, intended for graduate students in chemical sciences. To date, I have presented this workshop at MIT, Ben Gurion University and the Hebrew University of Jerusalem.
You can find a version the slides here. Check out the full GitHub repo, which includes some neat interactive jupyter notebooks!