I am a PhD candidate at the Singapore University of Technology and Design (SUTD) in the Engineering Systems and Design (ESD) pillar, generously supported by the SUTD President's Graduate Fellowship (PGF). I am really grateful to be advised by Georgios Piliouras (ESD) and co-advised by Ioannis Panageas from the Information Systems (ISTD) pillar.

I completed my undergraduate in Computer Engineering from the National University of Singapore (NUS). Prior to joining SUTD as a PhD student, I worked at A*STAR (Institute for Infocomm Research) as a research engineer where my primary role was to analyse the data collected from sensor networks that helped drive research directions and automate various processes related to anomaly detection, duty cycling and sensor network performance characteristics.

Research Interests

I am interested in studying fundamental questions in machine learning problems motivated by realistic constraints in applications: such as data truncation/censoring and data dependence, presence of agents (algorithms) that adapt over time and compete for resources. I use techniques from dynamical systems, optimization, game theory and statistics to solve problems in this area. I have reviewed papers for EC, WINE, SAGT.

Here is my CV .


Email : sai_nagarajan AT mymail DOT sutd DOT edu DOT sg

Personal Email: sganesh.22 AT gmail DOT com


  • Virtual Talk on "On the analysis of EM for truncated mixtures of two Gaussians" at ACAC 2020.

  • Virtual Talk on "From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics" at ICML 2020.

  • Two papers accepted to ICML 2020.

  • Talk on "On the analysis of EM for truncated mixtures of two Gaussians" at ALT 2020, San Diego.

  • Presented my work "On the analysis of EM for truncated mixtures of two Gaussians" as a poster at MIT Foundations of Data Science workshop: Learning under Complex Structure from Jan 27th-Jan 29th 2020.

  • Recent work on "Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem" has been accepted as a spotlight presentation at ICLR 2020.

  • My work with Ioannis Panageas "On the analysis of EM for truncated mixtures of two Gaussians" is accepted for presentation in ALT 2020.

  • Awarded the prestigious Merit Award in the Minister for National Development's R & D Awards 2019 for my contribution in the Urban Microclimate Multiphysics Integrated Simulation Tool (UM-MIST) project done at A*STAR.

  • Contributed Talk in the Learning in the Presence of Strategic Behavior Workshop at Economics and Computation 2019, FCRC, Phoenix.

  • Attended the Deep Learning Bootcamp in the Simons Institute for the Theory of Computing at UC Berkeley from May 26th 2019- May 31st 2019.

  • Teaching Assistant for Simulation,Modelling and Analysis from Sept 2018-Dec 2018 and Jan 2019-May 2019 (TA led course).

  • Invited to attend the summer school on "Optimal Transport meets Economic Theory" at the Hausdorff Center of Mathematics, University of Bonn from Jul 23rd-28th 2018.

  • Talk on "Three Body Problems in Evolutionary Game Theory: Convergence, Periodicity and Limit cycles" at AAMAS 2018, Stockholm.