Tim Hoheisel, McGill University

Research

convex optimization nonsmooth optimization variational analysis graphical differentiation convex duality maximum entropy on the mean inverse problem stability analysis

Latest funding

Variational analysis of optimization problems in machine learning and data science
NSERC · 2024 · Principal investigator
$31,000
Interdisciplinary Math and Artificial Intelligence Program (INTER-MATH-AI)
NSERC · 2022 · Co-investigator
$725,500
Applications of variational analysis in optimization and data science
NSERC · 2017 · Principal investigator
$114,000

All 3 grants and awards

Variational analysis of optimization problems in machine learning and data science

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Hoheisel, Tim

Keywords: variational analysis; graphical differentiation; convex duality; maximum entropy on the mean; inverse problem; stability analysis; epigraphical convergence; subdifferential; nonsmooth optimization; convex optimization

$31,000

Interdisciplinary Math and Artificial Intelligence Program (INTER-MATH-AI)

Co-investigatorNSERC2022Collaborative Research and Training Experience

Principal investigators: Fraser, Maia MJ

Keywords: applications of ai; artificial intelligence; hybrid machine learning; machine learning; mathematical modelling; neural networks; numerical methods; optimization; reinforcement learning; topological data analysis

$725,500

Applications of variational analysis in optimization and data science

Principal investigatorNSERC2017Discovery Grants Program - Individual

Principal investigators: Hoheisel, Tim

Keywords: convex analysis; convex composite functions; convex optimization; dc optimization; duality theory; epi-convergence; nonsmooth optimization; smoothing methods; subdifferential theory; variational analysis

$114,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Mention their NSERC grant from 2024

Subject: Prospective PhD student: convex optimization Dear Professor Hoheisel, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on convex optimization connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Variational analysis of optimization problems in machine learning and data science" (2024), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]