Lab Members

Aagam Shah received his bachelor’s degree in engineering and computer science in 2017. He then went to work for Red Hat (IBM) as a software engineer and later as a data scientist. After a couple of years, Aagam joined Yale University (Van Dijk Lab) as a postgrad in computer science, where he worked on single-cell analysis and machine learning. He joined the Knott Lab in December 2020.

Rick received his BS in physics from Carnegie Mellon University in 2014 and his PhD in astronomy and astrophysics from UCLA in 2020. His 21 cm cosmology thesis developed semi-analytic and numerical models of the first stars' formation in the universe and their effects on cosmological radiation backgrounds. He then worked as a postdoctoral scientist for two years in the Computational Astrophysics Group at UC Santa Cruz, analyzing data from large-scale cosmological simulations. He joined the Knott Lab in December 2022 to analyze and develop methods for spatial transcriptomics data.

Teia received her bachelor's degree in computational and systems biology and her master's degree in bioinformatics from UCLA in 2019. She went on to work at the Broad Institute of MIT and Harvard as a computational biologist, where she developed methods for spatial transcriptomics analysis in kidney disease. She joined the Knott Lab in 2021 as a research bioinformatician, where she has studied multiple cancer types through single-cell and spatial transcriptomics modalities.

Suhyeon received her bachelor's degree in biomedical engineering with a concentration in cell and tissue engineering from Columbia University in 2022. Her undergraduate research focused on cytoskeleton regulation and its role in the mechanics of T-cell activation. She transitioned from wet-lab to computational research and earned her master’s degree in biomedical engineering with a concentration in machine learning and bioinformatics in 2023. She joined the Knott Lab in August 2023. She focuses on quantitative analysis and method development for single-cell and spatial transcriptomics data.

Tyler Lam graduated from the University of Virginia in 2017 with degrees in physics and mathematics. He attended UCLA for graduate school to study experimental particle physics. While working on the Compact Muon Solenoid collaboration, he analyzed data to find rare decays of the Higgs boson as part of an expansive search for exotic physics processes. After earning his PhD, his experience with quantitative analysis and statistical methods led him to join the Knott Lab in January 2025.

Shiqing received her bachelor's degree from UCLA in 2022, where she majored in microbiology, immunology and molecular genetics. As an undergraduate in the Zhou Lab, she used cryogenic electron tomography and computational analysis to investigate how microbial organelles and viruses are built and function. She joined Cedars-Sinai in 2023 to pursue a PhD in translational biomedicine and transitioned into cancer biology in the Knott Lab, where she combines spatial multiomics and computational modeling to study resistance mechanisms in triple-negative breast cancer.

Xiaohe Wang entered Tsinghua University in 2022 to pursue an MD degree, majoring in clinical medicine through an eight-year program. She is enrolled in a cooperative program between Tsinghua University and Cedars-Sinai Medical Center and joined the Knott Lab as a visiting graduate student in September 2025.