Student Reseachers
CBCB currently supports more than 40 graduate students, mostly at the Ph.D. level. We also have high school interns and more than a dozen undergraduate students contributing to CBCB research. Our diverse academic community allows our students to collaborate across disciplines—machine learning researchers working with data scientists and epidemiologists, or computational biologists working with entomologists, are but two examples.
The Cummings Lab is a collaborative and dynamic lab focused on bioinformatics and computational biology, using data science, statistics, and machine learning to drive impactful research.
- Sondos Abedelhafeez
- Alexis Boleda
- Yi Chen
The El-Sayed Laboratory is focused on the study of the biology of parasitism and host-pathogen interactions using genomic approaches with the ultimate goal of better understanding infection and survival mechanisms.
- Khiem Lam
- Winnie Chen
- Amalie Ludwig
- Daniel Klimes
The Fritz Lab studies arthropod evolution in response to human-mediated environmental change. They use molecular, genomic, and computational tools to shed light on the genomic variants that facilitate adaptation.
- Theresa Menna
- Ben Gregory
- Abuzar Bhatty
- Logan Owens
- Daniel Davis
The Hall Lab studies the human gut microbiome with the goal of identifying the bacterial genes underlying health-relevant functions of the gut microbiome.
- Gabriela Arp
- Santiago Botasini
- Angela Jiang
- Sophia Levy
- Maggie R. Grant
- Robert Snell
- Owen Glass
- Alexandra Clarke
- Jonathan Yang
The research in Heng Huang's lab spans the areas of machine learning, large-scale optimization, natural language processing, computer vision, bioinformatics, and biomedical image analysis.
- Lichang Chen
- Ruibo Chen
- Yanshuo Chen
- Alireza Ganjdanesh
- Qi He
- Junyi Li
- Chenxi Liu
- Georgios Milis
- Reza Shirkavand
- Yan Wen
- Yihan Wu
- Tianyi Xiong
- Sheng Zhang
- Su Zhang
- Tong Zheng
- Ziyi Chen
- Zhenyi Wang
- Peiran Yu
- Junfeng Guo
- Shaocong Ma
- Yuke Li
Research in the Molloy Lab is at the intersection of computer science, statistics, and evolutionary genomics. They study algorithms and develop software.
- Junyan Dai
- Rachel Parsons
- Wenshan Wu
Rob Patro's COMBINE Lab spans many areas of computational/algorithmic genomics, but its core focus is on the development of algorithms, data structures, and statistical inference methods for analyzing high-throughput sequencing data.
- Hyeon Cho
- Yuan Gao
- Zahra Zare Jousheghani
- Noor Pratap Singh
