Lazar Atanackovic
Assistant Professor
Department of Electrical & Computer Engineering
Department of Biochemistry
Adjunct Professor Deptartment of Computing Science
Research Fellow, Alberta Machine Intelligence Institute (Amii)
Postdoctoral Associate, Broad Institute of MIT & Harvard
Ph.D, University of Toronto (2025)
M.A.Sc., University of British Columbia (2020)
email: atanacko@ualberta.ca
Recruiting:
The Atanackovic group is currently recruiting.
Those interested in Undergraduate, Graduate or Postdoctoral research opportunities, please visit Dr. Atanackovic's lab website.
Research:
We are a research group focused on developing cutting-edge machine learning methods for understanding and modeling natural (physical) systems from data, with an emphasis on cellular and molecular systems.
Our research spans machine learning, generative modeling, causality, systems biology, single-cell biology, and protein & molecule design. We combine theoretical advances with practical applications to push the boundaries of what’s possible in computational biology and AI.
Our research spans machine learning, generative modeling, causality, systems biology, single-cell biology, and protein & molecule design. We combine theoretical advances with practical applications to push the boundaries of what’s possible in computational biology and AI.
Selected Publications:
Meta flow matching: Integrating vector fields on the wasserstein manifold
L Atanackovic*, X Zhang*, B Amos, M Blanchette, LJ Lee, Y Bengio, Alexander Tong, Kirill Neklyudov, ICLR
The Superposition of Diffusion Models Using the Itô Density Estimator
Marta Skreta*, Lazar Atanackovic*, Avishek Joey Bose, Alexander Tong, Kirill Neklyudov
ICLR [Spotlight]. 2025 April;
Marta Skreta*, Lazar Atanackovic*, Avishek Joey Bose, Alexander Tong, Kirill Neklyudov
ICLR [Spotlight]. 2025 April;
Curly Flow Matching for Learning Non-gradient Field Dynamics
Katarina Petrović, Lazar Atanackovic, Viggo Moro, Kacper Kapuśniak, İsmail İlkan Ceylan, Michael Bronstein, Avishek Joey Bose, Alexander Tong
NeurIPS. 2025 December;
Katarina Petrović, Lazar Atanackovic, Viggo Moro, Kacper Kapuśniak, İsmail İlkan Ceylan, Michael Bronstein, Avishek Joey Bose, Alexander Tong
NeurIPS. 2025 December;
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets
L Atanackovic*, A Tong*, B Wang, LJ Lee, Y Bengio, JS Hartford
NeurIPS
Lab Members
In Progress
Links
Location
Office: 4-020M KGR