About Me
I am a Senior Inventive Scientist in the Data Science and AI group of AT&T Labs Research.
Before joining the Labs I was a postdoctoral researcher at the University of Florida Informatics Institute. My guide is Prof. George Michailidis, with whom I worked on highdimensional graphical models for modelling multilevel omics data.
I obtained my PhD in Statistics from the School of Statistics, University of Minnesota. Prof. Anshu Chatterjee was my advisor, and my thesis was on developing inferential methods based on statistical depth functions, focusing on robust dimension reduction and variable selection.
Research interests
Methodology
 High dimensional inference sparse regression, robust statistics
 Statistical machine learning complex graphical models, variational inference
 Data depth and its inferential applications variable selection, dimension reduction
 Viewership and network modelling
 Social aspects of Machine learning/data science: social good, fairness, bias, privacy
 Statistical models in drug discovery
 Genetic mapping of complex behavioral traits
News
 Feb 2020: Gave a talk on data science research activities in AT&T Labs at the 3rd Virtual career fair organized by NISS on February 28th.
 Nov 2019: Gave a talk on my latest research at the 3rd AT&T Grad Student Symposium.
 Oct 2019: A review paper on computerassisted approaches to combat Zika was accepted in Pharmaceuticals.
 Apr 2019: A paper on modelling bloodbrain barrier entry of chemicals using machine learning was accepted in Molecular Informatics.

Mar 2019:
 Gave a talk on my latest research in AT&T Labs at the NYC Women in Machine Learning and Data Science meetup on March 26th.
 A paper on predicting primate reservoirs of the Zika virus was published in Epidemics. A press release is available here.
 A review paper on datadriven strategies for prevention of Zika was published in a book on the Zika virus.
 Aug 2018: Joined my position in AT&T Labs.
 July 2018: A paper titled "Mathematical structural descriptors and mutagenicity assessment: A study with congeneric and diverse data sets" was accepted in SAR and QSAR in Environmental Research.
 June 2018: My collaborator Prof. Subhash C. Basak delivered a plenary lecture at the QSAR2018 conference in Bled, Slovenia on our work on statistical modelling of mutagenicity of chemical compounds.
 May 2018:
 Gave an invited talk at Savvysherpa, Inc. on my latest research on graphical models. The slides are available here.
 International Indian Statistical Association Conference 2018 Organized a session on highdimensional regression, and also gave an invited talk on robust nonconcave penalized highdimensional regression.
 Feb 2017: The collaborative work on predicting primate reservoirs of the Zika virus was reported in Science News.