Current Students

Biomathematics Ph.D. Program

Directory

Students

Samuel Christensen
Entered program in 2017
Summary:
I work with Marcus Roper to study small scale fluid flow applied to biological systems. More specifically, I use a combination of asymptotic and numerical methods to study fluid flow problems in microfluidic devices and blood flow.
Benjamin Chu
Entered program in 2016
Summary:
I study optimization and statistical methods for human genetics. Some relevant areas include high dimensional statistics, GLMs, MM algorithms, and parallel computing.
Christine Craib
Entered program in 2019
Summary:
I am specifically interested in the application of mathematics to human and medical problems. My background is in mathematics, with research on gonorrhea and population dynamics.
Mauricio Cruz Loya
Entered program in 2015
Summary:
I study the way that multiple antibiotics interact with each other and with different stressors such as temperature from a theoretical and computational perspective under the supervision of Van Savage. I particularly enjoy collaborating with experimental biologists: some current projects include modeling of resistant cancer cells under different combinations of drugs, and modeling quiescent bacterial cells. My interests span microbial ecology, systems biology, cell biology, mathematical modeling, network theory, and applied statistics.
Paheli Desai-Chowdhry
Entered program in 2018
Summary:
I am interested in mathematical modeling in neuroscience. I am working with Professor Van Savage on developing a framework to analyze neuron morphology and scaling in single neurons and neuronal networks. I am testing theoretical predictions with 3D image data from neurons in a wide range of brain regions and species including humans, rodents, reptiles, chimpanzees, tigers, elephants, and whales.
Alexander Fisher
Entered program in 2016
Summary:
I work in Prof. Marc Suchard's group and I develop stochastic and statistical models for phylogeny reconstruction and implement them in the open-source Bayesian Evolutionary Analysis Sampling Trees (BEAST) software package. Broadly, I enjoy using mathematics to learn about genetics, epidemiology, and evolution.
Mariana Harris
Entered program in 2019
Summary:
I am interested in problems that lie at the interface of mathematics, statistics and biology. I enjoy using mathematics to understand how biological systems adapt and interact.
Gabriel Hassler
Entered program in 2017
Summary:
I work with Dr. Marc Suchard on models of phenotypic (trait) evolution. I develop new statistical methods for these models and implement them in the phylogenetic inference software BEAST. I use these methods to study patterns of evolution in primate brains, prokaryotes, HIV, and more.
Victoria Kelley
Entered program in 2018
Summary:
I am passionate about mathematically modeling systems in biology. Currently I am working with Dr. Janet Sinsheimer to statistically model wolf aggressiveness in Yellowstone using genetic data. My past research projects include modeling epidemiology, predator-prey systems, and worm locomotion.
Alfonso Landeros
Entered program in 2016
Summary:
I study applications of mathematical optimization and probability theory with Dr. Lange and Dr. Sehl. My current work explores convex relaxations of nonlinear programs with an emphasis on structured sparsity in a high-dimensional setting. Other research interests include high-performance computing and its relationship to broad topics in cancer.
Xiangting Li
Entered program in 2020
Summary:
I study stochastic modelling for molecular processes in cells and other biological phenomena. I adopt methods in stochastic analysis and statistical physics to deepen our understanding of those processes both numerically and analytically.
Tianyun (Jason) Lin
Entered program in 2016
Summary:
I am working with Professor Van Savage on various projects that embark on exploring the dynamics, topological characteristics, and evolution of food webs using mechanistic models. I am also interested in Network Science, Theoretical Ecology, and Evolutionary Game Theory.
Christian Mason
Entered program in 2014
Summary:
I work on theoretical models of risk assessment for pathogen emergence in the Lloyd-Smith Lab. I use stochastic modeling frameworks and simulation based inference. More info at ctmason.bol.ucla.edu
Rachel Mester
Entered program in 2019
Summary:
I am interested in the intersection of computational methods and genomics, particularly in the area of disease subtyping and understanding the genetic basis for differentiated clinical outcomes including survival, comorbidities, and responses to treatment. My background is in applied mathematics and software development for clinical oncology, and I hope to be able to bring these areas together in my future research.
Apeksha Singh
Entered program in 2020
Summary:
I am an MD/PhD student interested in developing mathematical models of biological systems and leveraging such models to understand how systems change in pathological conditions. I currently work with Dr. Alexander Hoffmann to better understand signaling dynamics in immune cells.
Ellen Visscher
Entered program in 2020
Summary:
I am interested in the interface of mathematics and biology, particularly in areas that can be used to improve health outcomes. My background is in backend software development and applied mathematics, specifically optimization.
Jianxiao Yang
Entered program in 2018
Summary:
I work with Prof. Marc Suchard on large-scale observational studies. I study statistical computing on GLMs for harnessing large-scale observational health data.
Gary Zhou
Entered program in 2019
Summary:
I am interested in mathematical modeling in various biological areas such as neuroscience, cellular/subcellular process and blood flow. Specifically, I want to study these phenomena with a diverse range of mathematical tools including SDE, PDE, discrete math and optimization.
Xinzhe Zuo
Entered program in 2019
Summary:
I am interested in mathematical modeling of biological processes. For instance, error incorporation during transcription processes, backtracking of rna polymerase. I am also interested in large scale optimization methods.