I am a member of the AI Foundations Lab at IBM T.J. Watson Research Center. My research interests are in the broad areas of Machine Learning, Natural Language Processing and Generative Models.
Over the years, I have worked on many different aspects of Machine Learning including Machine translation, Information Extraction, Transfer Learning, etc and have applied these techniques to solve problems in a wide variety of industries like Finance, Oil and Gas, Insurance etc. I have also worked on projects for various government agencies in the areas of National Security and Healthcare.
My recent work is focussed on developing generative models and optimization techniques for designing molecules that satisfy multiple desirable properties. We applied these techniques to design novel drug candidates that bind to COVID-19 targets. The generated drug candidates can be visualized and analyzed using IBM's Molecule Explorer tool. For more information about this research, see https://covid19-mol.mybluemix.net/research and our NeurIPS paper.
Another recent work on AI designed antimicrobial peptides for tackling the problem of antibiotic resistance appeared in Nature Biomedical Engineering. These AI designed peptides were evaluated in the wetlab for Antimicrobial activity and low toxicity.
A complete list of my publications is available through Google Scholar. I also have 32 granted patents.
- Best Application Paper Award at KDD 2013 for our paper on Amplifying the Voice of Youth in Africa
- INFORMS Innovative Applications in Analytics Award in 2014 for building a Text Analytics System for UNICEF Uganda
- Best Interdisciplinary Paper Award Shortlist at CIKM 2010
- IBM Outstanding Technical Achievement Award
- IBM Thinkplace Innovator Award