Gautam Kamath

Gautam Kamath

Professor of Computer Science

University of Waterloo

Le Salonneur

Gautam Kamath is an assistant professor at University of Waterloo’s Cheriton School of Computer Science. His research interests include statistics and machine learning, with a focus on settings which are common in modern data analysis, including privacy, robustness, and high-dimensional data. He leads The Salon, which studies Statistics, Algorithms, Learning, and Optimization.

Interests

  • Statistics
  • Machine Learning
  • Data Privacy
  • Robustness

Education

  • PhD in Electrical Engineering and Computer Science, 2018

    Massachusetts Institute of Technology

  • SM in Electrical Engineering and Computer Science, 2014

    Massachusetts Institute of Technology

  • BSc in Computer Science and Electrical and Computer Engineering, 2012

    Cornell University

Christian Covington

Christian Covington

MMath Computer Science Student

University of Waterloo

Graduate Researcher

Christian Covington is an incoming student in the MMath Computer Science program at University of Waterloo’s Cheriton School of Computer Science, co-advised with Xi He. His research interests include statistical validity in adaptive data analysis settings and statistical data privacy.

Interests

  • Statistical Validity
  • Data Privacy
  • Robustness

Education

  • BA in Statistical Science, 2016

    Cornell University

Mahbod Majid

Mahbod Majid

MMath Computer Science Student

University of Waterloo

Graduate Researcher

Mahbod Majid is an incoming student in the MMath Computer Science program at University of Waterloo’s Cheriton School of Computer Science. His research interests include private and robust statistics.

Interests

  • Private Statistics
  • Robust Statistics

Education

  • BS in Computer Engineering, 2020

    Sharif University of Technology

Argyris Mouzakis

Argyris Mouzakis

PhD Computer Science Student

University of Waterloo

Graduate Researcher

Argyris Mouzakis is an incoming student in the Computer Science PhD program at the University of Waterloo. His research interests broadly lie at the intersection of Theoretical Computer Science and Probability & Statistics.

Interests

  • Machine Learning Theory
  • Algorithmic Statistics
  • Privacy
  • Applied Probability

Education

  • Diploma in Electrical and Computer Engineering, 2019

    National Technical University of Athens

Sourav Biswas

Sourav Biswas

BCS and BBA Dual Degree Student

University of Waterloo

Undergraduate Researcher

Sourav Biswas is an undergraduate researcher at University of Waterloo’s Cheriton School of Computer Science. His research interests include machine learning, computer vision and statistics, with a focus on applications in autonomous vehicles, finance, and sports. He has past experience as a quantitative analyst and software engineer.

Interests

  • Statistics
  • Machine Learning
  • Computer Vision
  • Data Privacy

Education

  • BCS in Computer Science, 2022 (Expected)

    University of Waterloo

  • BBA in Business Administration, 2022 (Expected)

    Wilfrid Laurier University

Xingtu Liu

Xingtu Liu

BMath Student

University of Waterloo

Undergraduate Researcher

Xingtu Liu is an undergraduate student at University of Waterloo with a major in Computer Science and minors in Pure Math and Statistics. His research interests include deep learning, statistics, and optimization.

Interests

  • Deep Learning Theory
  • Machine Learning
  • Statistics
  • Optimization

Education

  • BMath in Computer Science, 2021 (Expected)

    University of Waterloo

Nicholas Vadivelu

Nicholas Vadivelu

BMath Computer Science & Statistics Student

University of Waterloo

Undergraduate Researcher

Nicholas Vadivelu is a student and undergraduate researcher at the University of Waterloo. His research interests include machine learning, statistics, and programming languages.

Interests

  • Machine Learning
  • Statistics
  • Programming Languages

Education

  • BMath in Computer Science & Statistics (Double Major), 2022 (Expected)

    University of Waterloo

Shubhankar Mohapatra

Shubhankar Mohapatra

Research Associate

University of Waterloo

Affiliated Researcher

Shubhankar Mohapatra is a research associate at University of Waterloo’s Cheriton School of Computer Science supervised by Xi He. His research interests include differentially private learning, federated learning with a focus on data cleaning and health informatics.

Interests

  • Data Privacy
  • Machine Learning
  • Federated Learning
  • Data Cleaning

Education

  • MMath in Computer Science, 2020

    University of Waterloo

  • BTech in Computer Science Engineering, 2016

    IIIT Bhubaneswar

Pranav Subramani

Pranav Subramani

Research Associate

University of Waterloo

Affiliated Researcher

Pranav Subramani is a recent graduate from the University Of Waterloo in Computer Science and Combinatorics and Optimization. His focus is on probabilistic programming and Bayesian inference, and he is interested in differential privacy and adversarial robustness.

Interests

  • Probabilistic Programming
  • Bayesian Inference
  • Differential Privacy
  • Adversarial Robustness

Education

  • BMath in Computer Science, 2020

    University of Waterloo

  • BMath in Combinatorics and Optimization, 2020

    University of Waterloo

Alumni

  • Pranav Subramani, Undegraduate Researcher (September 2019 - June 2020), now Master’s Student at University of Waterloo
  • Vikrant Singhal, Visiting Researcher (September 2019 - December 2019), now PhD student at Northeastern University