Background
Education
Academic foundations.
- 2019–present
PhD in Computer Science
McGill University & Mila
Advisors: Doina Precup and Samira Ebrahimi Kahou
- 2015–2019
MS by Research in Computer Science & Engineering
Indian Institute of Technology Madras
Advisor: Balaraman Ravindran
Research thesis ↗ - 2009–2013
BE in Computer Science & Engineering
Anna University, Chennai
Research experience
Across academic &
industrial settings.
- August 2017–June 2019 · IIT Madras
Robert Bosch Centre for Data Science and AI
Project Associate (August 2017–January 2019); Project Officer (February–June 2019).
Built a toolkit for attributed and non-attributed network representation learning in an IIT Madras–Intel collaboration, supervised by Balaraman Ravindran.
- July 2014–August 2017 · IIT Madras
Project Associate · RISE Lab
Worked on wafer inspection in an IIT Madras–KLA-Tencor collaboration: class-imbalanced defect detection, multi-view semi-supervised and active learning, and shared representations for optical and electron-microscope imagery.
- June 2013–June 2014
Research Intern · Ericsson Research
Worked with heterogeneous data sources and built telecom alarm prediction models, supervised by Shivashankar Subramanian.
Talks & learning
Sharing ideas.
Invited talks
- Transition from Machine Learning to Deep Learning, MLDLTISP, SVCE (2018)
- Third RBCDSAI Workshop on Recent Progress in Data Science and AI (2018)
- Think Like a Startup series, IIT Madras Incubation Cell (2016)
Summer schools
- CIFAR Deep Learning and Reinforcement Learning Summer School, Mila (2021)
- Deep Learning Summer School, IIIT Hyderabad (2016)
- Microsoft Summer School on Machine Learning, IISc (2015)
Coursework
Selected coursework.
McGill University
- Reinforcement Learning
- Natural Language Processing
- Probabilistic Graphical Models
- Automated Reasoning with Machine Learning
IIT Madras
- Introduction to Machine Learning
- Social Network Analysis
- Deep Learning
- Data Mining
- Deep Learning for Computer Vision
- Multivariate Data Analysis