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Our Team

Our team, led by Santiago Schnell, brings together scientists, trainees, and staff with diverse backgrounds who share a common commitment to addressing complex biological and biomedical problems through quantitative and interdisciplinary approaches.

We foster a collaborative and intellectually vibrant research environment where mathematical modeling, computational methods, and scientific rigor are integrated with experimental insight. Our work spans enzymology, quantitative biology, and the science of science, advancing discovery and understanding across disciplines.

Now Recruiting

We are seeking talented postdoctoral fellows and graduate students to join our interdisciplinary research team. Learn more!


Postdoctoral Fellows

Abhishek Mallela

Abhishek Mallela

Postdoctoral Research Scientist
Department of Mathematics
Dartmouth
National (US) Chess Master and Chess Champion
Website | Email | Google Scholar | GitHub

Abhishek received his MS in Mathematics & Statistics from the University of Missouri at Kansas City, and his PhD in Applied Mathematics from the University of California at Davis, where he was advised by Alan Hastings. Prior to joining the group, he held a postdoctoral fellowship at the Center for Nonlinear Studies and wroked with the Theoretical Biology and Biophysics Group at Los Alamos National Laboratory, under the mentorship of
William Hlavacek and Yen Ting Lin.

His research focuses on the optimal experimental design of enzyme-catalyzed assays for the precise and robust estimation of the limiting rate and Michaelis constant. He is also exploring lumping methods in reaction networks, and how AI systems face fundamental social dilemma with game theory.

Jakub Svoboda

Jakub Svoboda

Postdoctoral Research Scientist
Department of Mathematics
Dartmouth
Mathematical Olympiad Silver Medalist and ACM ICPC Competitor Old Website | Email | Google Scholar | LinkedIn

Jakub received his BSc and MSc in Computer Science with honors from the Faculty of Mathematics and Physics at Charles University in Prague, and his PhD in from the Institute of Science and Technology Austria (ISTA), where he was advised by Krishnendu Chatterjee. Prior to joining the group, he briefly held a postdoctoral fellowship at ISTA.

His research focuses on evolutionary dynamics on graphs and stochastic processes governing the spread of genetic variants and behavioral strategies across structured populations. His work on density amplifiers of cooperation for spatial games was published in Proceedings of the National Academy of Sciences, and he received the Best Paper Award at International Colloquium On Structural Information and Communication Complexit 2023. He is also investigating games on graphs, including optimal strategies in stochastic and concurrent game settings.


Gradute Students

Isabella Gimon

Isabella Gimon

Doctoral Candidate
Integrated Biomedical Sciences Graduate Program
University of Notre Dame
Email

Isabella earned her BS in Biology & Applied Sciences with minors in Computer Science & Chemistry from Florida International University in 2021. She is the recipent of the NSF Graduate Fellowship.

Her research employs rule-based and agent-based modeling to investigate the mechanisms of protein aggregation, a process implicated in neurodegenerative diseases such as Huntington’s and Alzheimer’s. She uses formal rule-based representations to construct and simulate the chemical kinetics of protein aggregation networks, capturing both conformational and oligomeric pathways. These approaches enable mechanistic insight into how molecular crowding and stochastic interactions shape pathological outcomes in complex intracellular environments.


Collaborators

Our group maintains active collaborations with a global network of scientists working at the forefront of mathematical biology, biochemical kinetics, data standards, and scientometrics. These partnerships enrich our research through complementary expertise, joint publications, co-supervision of trainees, and shared commitments to open science, reproducibility, and innovation.

We are proud to collaborate with the following colleagues: