Colleen Clancy, Ph.D.

Colleen Clancy, Ph.D. (Research Profile)
Director

ceclancy@ucdavis.edu

Luis Fernando Santana, Ph.D.

Luis Fernando Santana, Ph.D.
Distinguished Professor and Chair
Department of Physiology and Membrane Biology

lfsantana@ucdavis.edu

Kermit L. Carraway, III, Ph.D.

Kermit L. Carraway, III, Ph.D.
Professor
Department of Biochemistry and Molecular Medicine

klcarraway@ucdavis.edu

Pei-Chi Yang, Ph.D.

Pei-Chi Yang, Ph.D.
Project Scientist

pcyang@ucdavis.edu

David Liem, M.D., Ph.D.

David Liem, M.D., Ph.D. (Research Profile)
Associate Professor
Department of Internal Medicine
Division of Cardiovascular Medicine

daliem@ucdavis.edu

Hajar Amini, Ph.D.

Hajar Amini, Ph.D. (Research Profile)
Assistant Project Scientist

hamini@ucdavis.edu

Hajar Amini is an Assistant Project Scientist at the Center for Precision Medicine and Data Sciences. Amini has a Ph.D. in Biometrical Genetics from Tehran University, with a focus on bioinformatics analysis for the integration of transcriptomics and metabolomics data. She joined UC Davis Health, Department of Neurology, in January 2019 as a postdoctoral scholar and was later appointed as an Assistant Project Scientist in March 2020.

Her work over the past five years has focused on the interaction between genetics and phenotype, particularly using eQTL-based analysis to identify genetic variants that contribute to diseases and overall outcomes.

Her passion is developing approaches to utilize multi-omic datasets to gain deeper insights into the contribution of genetics to different diseases. The ultimate goal is the identification of novel drug targets and personalized medicine strategies to improve patient care.

Gonzalo Hernandez Hernandez, Ph.D.

Gonzalo Hernandez Hernandez, Ph.D.
Postdoctoral Fellow

ghernandezh@ucdavis.edu

Diego Lopez Mateos, Ph.D.

Diego Lopez Mateos, Ph.D.
Postdoctoral Fellow

dlopezmateos@ucdavis.edu

Khoa Ngo, Ph.D.

Khoa Ngo, Ph.D.
Postdoctoral Fellow

khoango@ucdavis.edu

Khoa Ngo is a computational biophysicist working at the intersection of structural modeling, molecular simulation, and machine learning to understand how drugs interact with proteins in the body, particularly those involved in cardiovascular function. His research focuses on predicting how drug responses change based on the shapes these proteins adopt and how genetic mutations affect their behavior, with the goal of making treatments safer and more tailored to each individual.

He earned his Ph.D. in Biophysics from UC Davis in 2024, where he developed computational models that help explain why certain drugs can disrupt heart function and cause cardiotoxic side effects. He has also contributed to projects in pain therapeutics, heart rhythm disorders, and enzyme engineering. His goal is to advance drug development by using computational tools to design safer, more effective, and more tailored treatments that improve patient outcomes.

Syeda Momina Tabish

Syeda Momina Tabish (Research Profile)
Computer Science Professional

stabish@ucdavis.edu

Syeda Momina Tabish is a computer science professional with over 10 years of diverse experience in IT, programming, cybersecurity, and R&D. She holds a Ph.D. in computer science focused on applied machine learning and natural language processing in health data. Additionally, she has master's degrees in computer science and information technology, with her research specializing in malware detection in cybersecurity. Her research interests are in Data Science, Applied Machine Learning, Text Mining, Natural Language Processing and Health Data Analytics.

Amanda Flores

Amanda Flores
Executive Assistant to Colleen Clancy, Ph.D.

530-752-9879
accflores@ucdavis.edu