Lab members
Nicholas Landry, PI
Nicholas Landry is an Assistant Professor in the Biology Department at the University of Virginia. Nicholas is interested in the way that group interactions affect the dynamics of contagion spread, the structure of higher-order social systems, using data to inform mathematical models, and open-source software. Nicholas is one of the founding members of the XGI project, a software package for analyzing, modeling, and visualizing higher-order networks. Nicholas Landry was the TGIR Postdoctoral Research Fellow in the Vermont Complex Systems Center at the University of Vermont. Prior to his position at UVM, he completed a Ph.D. in Applied Mathematics at the University of Colorado Boulder. Nicholas also obtained a B.S. in Mechanical Engineering at the University of New Hampshire and worked as an engineer at a manufacturing company in Seacoast New Hampshire.
Daniel Kaiser, Postdoc
Daniel’s research interests are often evolving, currently including multi-dimensional higher-order interactions and lossy compressions, the role of homophily and complementarity in hypergraph growth, and community detection in hypergraphs. He is also interested in and maintains some projects concerning efficient multi-body ranking algorithms and surprising competitive outcomes, equitable transportation infrastructure through a field theory lens, and the creation of non-polarizing recommendation systems. Before joining the Landry Lab at UVA, Daniel completed a Ph.D. in Informatics at Indiana University under the supervision of Dr. Filippo Radicchi and a B.S. in Mathematics from the University of Michigan.
Charlotte Greene, PhD Student
Charlotte is as evolutionary biology and behavioral ecology PhD candidate being co-advised by Prof. Landry and Butch Brodie. They study environmental drivers of variation in sexual selection across space and time. Their work primarily focuses on the role of population demographics, age, and behavior in the evolution of weaponry in male forked fungus beetles. Charlotte is excited about expanding their research to apply contagion-based computational approaches to studying aggression and social behaviors. When not staring at beetles, Charlotte most enjoys running, dancing, and reading.
Andy Grieve, PhD Student
Andy is a 2nd year Ph.D. student in the Kasimatis Lab studying sexual conflict. He is an EXPAND fellow for the 2025-2026 academic year, co-advised by Prof. Landry. He is interested in how sexes share autosomal genetic material, but experience differentiated phenotypes. His studies focus on sexual conflict, and the molecular mechanisms that can reduce sexual conflict. Outside of the lab Andy enjoys trail running, rock climbing, and reading.
Abhay Gupta, PhD Student
I come from Delhi, India—a city full of energy and diversity. I completed my Master’s in Biology, during which I developed a strong interest in studying the evolution of adaptations using theoretical and computational approaches.
My research so far has explored topics like sexual conflict, sexual convolution, cancer systems, and the evolution of sex-biased cooperation. Moving forward, I’m excited to expand my work during my PhD, combining both wet and dry lab methods to tackle questions in evolution and ecology. One area I’m particularly curious about is the evolution of contagion spread—whether in pathogens or ideas—exploring how opinions or diseases propagate within communities and eventually develop strategies to combat this spread (for the diseases).
Outside the lab, you’ll find me deep into either video or board games, hunting for the best coffee and beer spots, or exploring cities and nature. I’m always up for a chat about evolutionary theories over a cold brew or a round of Avalon!
I’m looking forward to joining the lab, learning from everyone, and contributing to meaningful research!
Ahmed Ahmed, Undergraduate Student
Ahmed Ahmed is an upcoming fourth-year undergraduate student at the University of Virginia majoring in Biology with a minor in Data Science. He is broadly interested in genomics, bioinformatics, and the use of computational modeling to study biological systems. Ahmed is currently interning at the Biocomplexity Institute, where he works on simulating the spread of infectious disease variants using compartmental models. Outside of academics, Ahmed enjoys playing volleyball and soccer, weightlifting, and developing data visualization tools like his recent patient-focused Shiny app.
Are you interested in any of the lab’s research areas? If so, reach out to nicholas.landry@virginia.edu!