Computational and Quantitative Medicine Faculty

Meet the faculty of City of Hope's Department of Computational and Quantitative Medicine.
 
Suzette Blanchard, Ph.D., Biostatistician and Associate Research Professor
M. Suzette Blanchard, Ph.D.
Senior Biostatistician

Suzette Blanchard, Ph.D., is a biostatistician and associate research professor in the Division of Biostatistics within the Department of Computational and Quantitative Medicine.

Sergio Branciamore
Sergio Branciamore, Ph.D.
Assistant Professor, Department of Computational and Quantitative Medicine

Dr. Branciamore's research interests include (i) investigating the impact of epigenetics on development, disease and evolution, (ii) the application of methods from statistical mechanics and dynamical systems to personalized medicine for the treatment of complex diseases and cancer, and (iii) the

Benjamin Djulbegovic
Benjamin Djulbegovic, M.D., Ph.D.
Professor, Department of Hematology & Hematopoietic Cell Transplantation; Professor, Department of Computational and Quantitative Medicine

Benjamin Djulbegovic, M.D., Ph.D., main academic and research interest lies in attempts to measure and optimize clinical research and practice of medicine by understanding both the nature of medical evidence and decision-making.

Paul Frankel, Ph.D., Biostatistician and Research Professor
Paul Frankel, Ph.D.
Research Professor, Division of Biostatistics, Department of Computational and Quantitative Medicine

Paul Frankel, Ph.D., is is a scientist in the biostatistics division of the Department of Computational and Quantitative Medicine.

Zhaohui Gu
Zhaohui Gu, Ph.D.
Assistant Professor, Department of Computational and Quantitative Medicine

Dr. Gu’s research focus is to integrate multi-omics platforms, advanced analytical approaches, and multiple experimental models to study the heterogeneity of acute leukemias and facilitate the development of more efficacious targeted therapies.

James V. Lacey, Jr., Ph.D., M.P.H.
Professor and Director, Division of Health Analytics, Department of Computational and Quantitative Medicine

Dr. Lacey studies women’s cancer risks and outcomes. He is a principal investigator of the California Teachers Study cancer epidemiology cohort, and he leads innovative initiatives to improve transparency, efficiency and data-sharing in population sciences.

Joycelynne Palmer PhD
Joycelynne Palmer, Ph.D.
Director and Professor, Division of Biostatistics

Dr. Palmer’s research interests and effort support preclinical and clinical studies concerning the major obstacles to disease control/cure of hematologic malignancies and successful hematopoietic stem cell transplantation.

Russell Rockne, Ph.D.
Russell Rockne, Ph.D.
Associate Professor, Department of Computational and Quantitative Medicine

Dr. Rockne serves as director of the Division of Mathematical Oncology and Computational Systems Biology, with the goal of translating mathematics, physics and evolution-based research to clinical care.

Andrei Rodin
Andrei S. Rodin, Ph.D.
Professor, Department of Computational and Quantitative Medicine

Andrei S. Rodin, Ph.D., research interests are (i) computational systems biology — both methodology development and application to diverse high-dimensional multiscale biomedical data, and (ii) molecular evolution.

Cristian Tomasetti, Ph.D.
Cristian Tomasetti, Ph.D.
Director, Center for Cancer Prevention and Early Detection

Cristian Tomasetti, Ph.D., is the director of City of Hope's Center for Cancer Prevention and Early Detection, director of the Division of Mathematics for Cancer Evolution and Early Detection in the Department of Computational and Quantitative Medicine at Beckman Research Institute of City of Hope

TGen Associates

  • Floris Barthel, Ph.D., Assistant Professor - Dr. Barthel’s research interest is on using fundamental and translational genomics to understand the origin and development of brain cancer.
  • Alec Wong, Ph.D. - Dr. Wong’s focus is on artificial intelligence for precision medicine, with applications to drug discovery, population health, biomarker discovery, prognosis and therapy response, as well as cancer prevention and early detection.