Starting December 2016, I am a Postdoctoral Research Fellow with Dana Pe'er at Memorial Sloan Kettering Cancer Centre. Before that, from October 2014, I was a Postdoctoral Research Scientist at Dana Pe'er's lab at the Department of Biological Sciences, Columbia University in the City of New York.
I obtained 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 the Bank of America Chicago Marathon (2017), TCS NYC Marathon (2015, 2016), UA NYC Half (2016), Airbnb Brooklyn Half (2015, 2016, 2017) and Swiss City Luzerne Half (2013, 2017). Some multiday hikes I have cherished are those of the Grand Canyon and Hoodoos (Arizona, Utah, 2014), Shri Mata Vaishno Devi (Jammu, 2014), Gemmi-, Maloja- and Lunghin-mountain passes (Switzerland, 2013), Swiss Classic (2012), Drei Zinnen (South Tyrol, Italy, 2012), Tour of Mont Blanc (2012), The Tatras (Slovakia 2011), Danube region (Austria 2010) and Firbush and Ben Lui (Scotland 2009). I have also cycled around the Turku islands (Finland 2011), Bodensee (Germany 2011) and Lake Balaton (Hungary 2010).
Co-organised the Workshop in Computational Biology at ICML, Sydney 2017.
Co-organised the Workshop in Computational Biology at ICML, NYC 2016.
Reviewer for IJCAI 2016, NIPS 2016, AISTATS 2017, IJCNN 2017, MLDM 2017, NIPS 2017, ICLR 2018 and AISTATS 2018.