Team
Meet the talented researchers behind Tong Group
Alicja Maksymiuk
PhD Student
Alicja (Ala) Maksymiuk is a DPhil student at the University of Oxford working on generative machine learning for drug discovery, with a focus on molecule generation. Her recent work introduces topological-guidance methods for steering diffusion-based generative models toward macrocyclic drug candidates (MacroGuide).
Co-supervised with: Michael Bronstein, İsmail İlkan Ceylan, Fernanda Duarte
Fred Zhangzhi Peng
PhD Student
Fred Zhangzhi Peng is a third-year PhD student at Duke University, where he works with Anru Zhang on statistical machine learning and with Alexander Tong (AITHYRA) on generative models. His research focuses on diffusion and discrete generative models, with applications spanning language models and protein design.
Co-supervised with: Anru R. Zhang, Christian Dallago
Kacper Wyrwal
PhD Student
Kacper joins the group as a PhD student at the University of Oxford in fall 2026. He is co-supervised with Michael Bronstein and Alexander Tong, and is a recipient of the G-Research Graduate Scholarship. His research spans machine learning, including topological flow matching and Gaussian processes on manifolds.
Co-supervised with: Michael Bronstein, İsmail İlkan Ceylan
Katarina Petrović
PhD Student
Katarina works on flow-based generative models, including flow matching and diffusion, with a focus on dynamics in science—such as trajectory inference for single cells and non-gradient field dynamics (e.g. Curly Flow Matching).
Co-supervised with: Michael Bronstein, İsmail İlkan Ceylan
Raul Minan
PhD Student
Raul works on machine learning for structure-based drug discovery, with a focus on protein–ligand docking and generative modeling of protein conformations. His work includes geodesic-guided diffusion methods for molecular docking (GeoDirDock) and generative models for ligand-accommodating pocket conformations (Sesame).
Sebastian Bauer
Visiting Student
Sebastian joins the group as a visiting student in September 2026. He comes from Stockholm University and SciLifeLab, where he worked on machine learning for microscopy and graph neural networks. His research interests span machine learning, microscopy, and graph neural networks.
Primary supervisor: Juliette Griffie
Alexander Tong
Principal Investigator
Alexander Tong is a Principal Investigator at Aithyra, a research institute at the intersection of machine learning and life sciences led by Michael Bronstein and funded by the Boehringer Ingelheim Foundation. He works on generative modeling, deep learning, and optimal transport, with applications to cell and molecular biology. He received his PhD from Yale University in 2021, advised by Smita Krishnaswamy, after which he was a postdoc at Mila with Yoshua Bengio and then an assistant professor at Duke University.