LASSO lab director, Département d'informatique, Université de Sherbrooke

toby.dylan.hocking@usherbrooke.ca

+1(819)821-8000x65565

Directions to my office, D4-1010-11

Mailing address:

Toby Dylan Hocking

2500 Boulevard de l'Université

Sherbrooke, QC, J1K-2R1, Canada

Jobs

My lab is recruiting masters and PhD students who are interested in working on new statistical models, optimization algorithms, interactive systems, and software for machine learning. If you are interested in joining, please first read my mentorship plan to see what I will expect of you, then read the application instructions.

Brief CV

Research interests: fast, accurate, and interpretable algorithms for learning from large data, using continuous optimization (clustering, regression, ranking, classification) and discrete optimization (changepoint detection, dynamic programming). The main application domains for these algorithms are genomics, neuroscience, medicine, microbiome, cybersecurity, robotics, satellite/sonar imagery, climate/carbon modeling.

I think reproducible research is important, so in addition to every paper I write, I also provide

  • A reference implementation of the algorithm(s) described in the paper, typically as an R package.
  • Source code for doing the analyses and creating the figures, typically in a GitHub repo.

For more info about my research activities, see my publications and software.

See my teaching page for lists of university course materials, university research students supervised, and Google Summer of Code students mentored.

As the leader of Data Table Ninjas, I also provide consulting services related to R data.table, including big data analysis, machine learning, data visualization, and teaching specialized programming classes related to these subjects.

If you want to send me encrypted messages, or verify my signed messages, you can use my GPG public key (updated April 2023, fingerprint 2AD6 F45A 31FF CF13 C3F7 0515 680A A3B7 3AA1 9C4F).

My ORCID is 0000-0002-3146-0865.