Gautam Kamath

Gautam Kamath

Assistant 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. He is also a Faculty Member at the Vector Institute, and a Canada CIFAR AI Chair. 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

Jimmy Di

Jimmy Di

MMath in Computer Science Student

University of Waterloo

Graduate Researcher

Jimmy Di is a graduate student at University of Waterloo with a major in Computer Science. His research interests include machine unlearning and robustness in the context of machine learning.

Interests

  • Machine Unlearning
  • Privacy
  • Robustness

Education

  • MMath in Computer Science, 2025 (Expected)

    University of Waterloo

  • BMath in Computer Science, 2022

    University of Waterloo

Sara Kodeiri

Sara Kodeiri

MMath Computer Science Student

University of Waterloo

Graduate Researcher

Sara Kodeiri is a Master’s of Computer Science student at the University of Waterloo. She has research experience in Machine Learning and Natural Language Processing and plans to focus more on privacy.

Interests

  • Privacy
  • Natural Language Processing

Education

  • Bachelor's of Science in Computer Engineering, 2022

    Iran University of Science and Technology

Sabrina Mokhtari

Sabrina Mokhtari

MMath Computer Science Student

University of Waterloo

Graduate Researcher

Sabrina Mokhtari is a student in the Computer Science Master program at the University of Waterloo. Her research interests are Privacy, Fairness, and Robustness in Machine Learning and Computer Vision.

Interests

  • Privacy and Fairness in Machine Learning
  • Computer Vision

Education

  • Bachelors of Scinece in Computer Engineering, 2022

    Sharif University of Technology

Argyris Mouzakis

Argyris Mouzakis

PhD Computer Science Student

University of Waterloo

Graduate Researcher

Argyris Mouzakis is a 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

Matthew Regehr

Matthew Regehr

MMath Computer Science Student

University of Waterloo

Graduate Researcher

Matthew Regehr is a student in the MMath Computer Science program at the University of Waterloo. He has research experience in reinforcement learning and is excited to begin exploring privacy and fairness in machine learning.

Interests

  • Machine Learning
  • Privacy
  • Reinforcement Learning

Education

  • BSc with Honors in Computing Science, 2021

    University of Alberta

Chris Trevisan

Chris Trevisan

Bachelor of Computer Science

University of Waterloo

Undergraduate Researcher

Chris Trevisan is an undergraduate student at the University of Waterloo. His research interests include design and analysis of algorithms, graph theory, and random processes.

Interests

  • Design and Analysis of Algorithms
  • Graph Theory
  • Random Processes

Education

  • Bachelors of Computer Science, 2026 (Expected)

    University of Waterloo

Matthew Yang

Matthew Yang

Bachelor of Computer Science

University of Waterloo

Undergraduate Researcher

Matthew Yang is an undergraduate student at the University of Waterloo. His research interests include machine learning and differential privacy.

Interests

  • Machine Learning
  • Differential Privacy

Education

  • Bachelors of Computer Science, 2024 (Expected)

    University of Waterloo

Shubhankar Mohapatra

Shubhankar Mohapatra

PhD Computer Science Student

University of Waterloo

Affiliated Researcher

Shubhankar Mohapatra is a PhD student 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

Graduate Student Alumni

  • Alex Bie, MMath Student (Fall 2021 - Summer 2023, co-advised with Shai Ben-David)
    • Thesis:
    • Next Position: Research Engineer at Huawei
  • Matthew Regehr, MMath Student (Fall 2021 - Summer 2023, co-advised with Shai Ben-David)
    • Thesis: A Bias-Variance-Privacy Trilemma for Statistical Estimation
    • Next Position: PhD Student in Computer Science at University of Waterloo
  • Mahbod Majid, MMath Student (Fall 2020 - Fall 2022)
    • Thesis: Efficient and Differentially Private Statistical Estimation via a Sum-of-Squares Exponential Mechanism
    • Next position: PhD Student in Machine Learning at Carnegie Mellon University
  • Christian Covington, MMath Student (Fall 2020 - Summer 2022, co-advised with Xi He)
    • Thesis: Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy
    • Next position: PhD Student in Biostatistics at Harvard University

Postdoc Alumni

  • Vikrant Singhal, Postdoc (Fall 2021 - Fall 2023)
    • Next position: Research Associate at OpenDP

Other Alumni

  • Ruiyun Chao, Undergraduate Researcher (Fall 2022)
  • Olivia Ma, Undergraduate Researcher (Fall 2022)
    • Next position: Master of Science in Computing (AI & ML) at Imperial College London
  • Valerie Liu, Undergraduate Researcher (Fall 2022)
    • Next position: Master’s student in Computing Science at University of Alberta
  • Andrew Guo, Undergraduate Researcher (Spring 2022)
  • Chirag Jindal, Undergraduate Researcher (Spring 2022)
  • Linfeng Ye, Affiliated Researcher (Fall 2021 - Spring 2022)
    • Next position: MASc Student in Electrical and Computer Engineering at University of Waterloo
  • Sushant Agarwal, Research Assistant (Spring 2022 - Summer 2022)
    • Next position: PhD Student in Computer Science at Northeastern University
  • Landy Xu, Undergraduate Researcher (Spring 2021 - Fall 2021)
    • Next position: Master of Science in Applied Computing Student at University of Toronto
  • Sourav Biswas, Undergraduate Researcher (Fall 2019 - Summer 2021)
    • Next position: PhD Student in Computer Science at University of Toronto
  • Xingtu Liu, Undergraduate Researcher (Fall 2020 - Summer 2021)
  • Nicholas Vadivelu, Undergraduate Researcher (Fall 2020 - Summer 2021)
    • Next position: Quantitative Research and Data Scientist at Citadel
  • Pranav Subramani, Undegraduate Researcher (Fall 2019 - Summer 2020), Affiliated Researcher (Summer 2020 - Summer 2021)
    • Next position: Quantitative Researcher at Cubist Systematic Strategies
  • Ishaq Aden-Ali, Affiliated Researcher (Summer 2020)
    • Next position: PhD Student in EECS at UC Berkeley
  • Vikrant Singhal, Visiting Researcher (Fall 2019)
    • Next position: PhD Student in Computer Science at Northeastern University
    • Current position: Postdoc at University of Waterloo