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

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

Phd Computer Science Student

University of Waterloo

Graduate Researcher

Matthew Regehr is a PhD student in computer science at the University of Waterloo. His research interests are broadly machine learning theory and differential privacy. His current research projects focus on theory and algorithms for differentially private accounting.

Interests

  • Machine Learning
  • Differential Privacy
  • Reinforcement Learning

Education

  • MMath in Computer Science, 2023

    University of Waterloo

  • BSc with Honors in Computing Science, 2021

    University of Alberta

Valentio Iverson

Valentio Iverson

BMath in Computer Science

University of Waterloo

Undergraduate Researcher

Valentio Iverson is an undergraduate student at the University of Waterloo. His research interests include machine learning theory, and its connection to probability, statistics and optimization.

Interests

  • Machine Learning Theory
  • Probability & Statistics
  • Optimization

Education

  • BMath in Computer Science, 2026 (Expected)

    University of Waterloo

Yiwei Lu

Yiwei Lu

PhD Computer Science Student

University of Waterloo

Affiliated Researcher

Yiwei Lu is a PhD student at University of Waterloo’s Cheriton School of Computer Science supervised by Yaoliang Yu and Sun Sun. His research interests include machine learning and data security with a focus on data poisoning attacks .

Interests

  • Machine Learning
  • Data Poisoning
  • Robustness

Education

  • MSc in Computer Science, 2020

    University of Manitoba

  • BE in Electronic Engineering, 2017

    University of Electronic Science and Technology of China

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

  • Sabrina Mokhtari, MMath Student (Fall 2022 - Summer 2024)
    • Thesis: Revisiting Benchmarks for Privacy-Preserving Image Classification
  • Sara Kodeiri, MMath Student (Fall 2022 - Summer 2024)
    • Thesis: Towards Standardized Evaluation in Differentially Private Image Classification: A Critical Approach
  • Alex Bie, MMath Student (Fall 2021 - Summer 2023, co-advised with Shai Ben-David)
    • Thesis: Private Distribution Learning with Public Data
    • Current Position: Research Scientist at Google
  • 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

  • Matthew Y.R. Yang, Undergraduate Researcher (Fall 2022 - Summer 2024)
    • Next Position: Master’s Student in Machine Learning at Carnegie Mellon University
  • Christopher Trevisan, Undergraduate Researcher (Spring 2022 - Spring 2024)
  • 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
  • Jack Douglas, Undergraduate Researcher (Summer 2022)
  • Andrew Guo, Undergraduate Researcher (Summer 2022)
  • Chirag Jindal, Undergraduate Researcher (Summer 2022)
  • Linfeng Ye, Affiliated Researcher (Fall 2021 - Summer 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