About

Starting September 2019, I am an Applied Research Scientist with Dr. Alexander Anderson at the Integrated Mathematical Oncology Department, Moffitt Cancer Centre, Tampa, Florida. Prior to that, I was a Postdoctoral Research Fellow with Dr. Dana Pe'er at Memorial Sloan Kettering Cancer Centre, NYC and from October 2014, I was a Postdoctoral Research Scientist at the same lab at the Department of Biological Sciences, Columbia University in the City of New York.

I received my Ph.D degree from Volker Roth's lab at the Department of Mathematics and Computer Science, University of Basel, Switzerland. My research deals with developing and applying statistical models, particularly to problems in Computational Biology. I work on clustering, network inference and sparsity selection models. I have an MSc degree in Intelligent Systems (Robotics) from University of Edinburgh, Scotland. My Master thesis was done at Subramanian Ramamoorthy's lab and was based on Knot theory.

Prior to academics, I have been an Assembler programmer working with the TCP/IP stack of the Mainframe Operating System (z/OS) at IBM Software Laboratories, Bangalore and have developed Mainframe applications at UST Global, Thiruvananthapuram.

I practise yoga and meditation and am also interested in Tae Bo, hiking and distance running. I have completed 4 out of 6 of the World Marathon Majors: the Tokyo Marathon (2019), the BMW Berlin Marathon (2018), Bank of America Chicago Marathon (2017), TCS NYC Marathon (2015, 2016), and multiple Half marathons.

Academic Services

  • Course tester and Senior TA for Neuromatch Academy (July, 2020).

  • Mentor for the MIT COVID-19 Datathon (May 10-16, 2020) for the Research Track: Disparities in Health Outcomes from COVID-19.

  • Inaugural 2019 Depth First Learning Jane Street Fellow.

  • STEM Mentor for 1000 Girls, 1000 Futures by New York Academy of Sciences (NYAS) 2019.

  • Journal/Conference/Workshop Reviewer
    • 2021: ICML, ACM Conference on Health, Inference, and Learning (CHIL), AACL-IJCNLP, AISTATS, AAAI, ICLR, FLAIRS-34 (Florida AI Research Society)
    • 2020: NeurIPS, PLOS Computational Biology, ML4H, ACL-IJCNLP, FLAIRS-33, ACM Conference on Health, Inference, and Learning (CHIL)
    • 2019: NeurIPS, ICML, AISTATS, ICLR, IJCNN, SciPy, KDD, ML4H, CORE@Luxembourg National Research Fund, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Pacific Symposium on Biocomputing (PSB), AAAI, Area Chair for WiML@NeurIPS, ML4Healthcare@NeurIPS, ML4Physical Sciences@NeurIPS, MLCB@NeurIPS, Bioinformatics Journal, NeurIPS Reproducibility Challenge
    • 2018: NeurIPS, ICML, AISTATS, IJCNN, ICLR, Area Chair for WiML@NIPS, CORE@Luxembourg National Research Fund, IEEE/ACM Transactions on Computational Biology and Bioinformatics, ML4Healthcare@NeurIPS, BayesianNonParametrics@NeurIPS, Pediatric Research
    • 2017: NIPS, ICML, AISTATS, IJCNN, MLDM, ML4Healthcare@NIPS
    • 2016: NIPS, IJCAI
  • Program Committee
  • STEM Mentor for 1000 Girls, 1000 Futures by New York Academy of Sciences (NYAS) 2017.

Professional Memberships

Talks

Blogs