David Rolnick

Mila > About Mila > Team > David Rolnick
Core Academic Member
David Rolnick
Assistant Professor, McGill University
David Rolnick

I am an Assistant Professor in the School of Computer Science at McGill University and a Core Academic Member at Mila. I also serve as co-founder and chair of Climate Change AI. My research foci are:

  • Deep learning theory: Mathematical understanding of the properties of neural networks.
  • Machine learning and climate change: Applications of machine learning to mitigate and adapt to the climate crisis.

Previously, I was an NSF Mathematical Sciences Postdoctoral Research Fellow at the University of Pennsylvania, working with Konrad Körding. I received my PhD in Applied Math from MIT in 2018, co-advised by Nir Shavit, Max Tegmark, and Ed Boyden. Before that, I was a Fulbright Scholar at the Freie Universität Berlin and an undergraduate at MIT.

Publications

2021-06

Digitizing a sustainable future
Lucia A. Reisch, Lucas Joppa, Peter Howson, Artur Gil, Panayiota Alevizou, Nina Michaelidou, Ruby Appiah-Campbell, Tilman Santarius, Susanne Köhler, Massimo Pizzol, Pia Johanna Schweizer, Dipti Srinivasan, Lynn H. Kaack, Priya L. Donti and David Rolnick
One Earth
(2021-06-18)
vbn.aau.dk

2021-05

DC3: A learning method for optimization with hard constraints
Priya L. Donti, David Rolnick and J Zico Kolter

2021-03

Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification
Charles A. Kantor, Marta Skreta, Brice Rauby, Léonard Boussioux, Emmanuel Jehanno, Alexandra Luccioni, David Rolnick and Hugues Talbot
arXiv preprint arXiv:2103.11285
(2021-03-21)
dblp.uni-trier.dePDF

2021-02

Deep ReLU Networks Preserve Expected Length.
Boris Hanin, Ryan Jeong and David Rolnick
arXiv preprint arXiv:2102.10492
(2021-02-21)
ui.adsabs.harvard.eduPDF

2019-06

Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Körding, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig... (2 more)
arXiv: Computers and Society
(2019-06-10)
ui.adsabs.harvard.eduPDF

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