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Hi. I'm Farhan Damani.

I work at the intersection of machine learning and drug discovery. I am broadly interested in tackling chemical and biological design problems using data, models, and computation.

about me.

My recent efforts have focused on problems in drug discovery including molecular design, reaction condition design, and chemical synthesis design. I also consult for Pfizer R&D on problems in molecular design and optimization. My recent contributions to their group were covered here here


In May 2019 I completed a master's degree in computer science at Princeton University where I worked on problems in computational neuroscience with Jonathan Pillow and Ryan Adams. Previously, I completed my undergraduate degree in computer science at Johns Hopkins University, where I worked with Alexis Battle on computational genomics.


Black Box Recursive Translations for Molecular Optimization.
Damani F., Sresht V., Ra S.
arXiv 2019.

Discrete Object Generation with Reversible Inductive Construction
Seff A., Zhou W., Damani F., Doyle A., Adams, R.P.
Neural Information Processing Systems (NeurIPS) 2019

Inferring animal learning rules from behavior with probabilistic models.
Damani F., Roy, N., Akrami A., Brody C., Adams, R.P., Pillow, J.W.
Computational and Systems Neuroscience (Cosyne) Extended Abstract.

A framework for predicting tissue-specific effects of rare genetic variants
Damani F., Kim Y., Li X., Tsang E., Davis J., Chiang C., Zappala Z., Strober B., Scott A., Hall I., GTEx Consortium, Montgomery S., Battle A.
In preparation.

The impact of rare variation on gene expression across tissues
Li X., Kim Y., Tsang E., Davis J., Damani F., Chiang C., Zappala Z., Strober B., Scott A., Ganna A., Merker J., GTEx Consortium, Battle A., Montgomery S.
Nature 2017

The impact of structural variation on gene expression
Chiang C., Scott A., Davis J., Tsang E., Li X., Kim Y., Damani F., Ganel L., GTEx Consortium, Montgomery S., Battle A., Conrad D., Hall I.
Nature Genetics 2017