Affiliated Faculty

Chris Beaulieu, MD, PhD
Professor, Radiology, Chief of Musculoskeletal Imaging

Three dimensional computer graphics representation of, medical imaging data, including clinical applications of virtual, colonoscopy and arthroscopy; interactive MRI evaluation of joint, motion.

Email | 650-725-8018 | Google Scholar »

Bao H. Do, MD
Clinical Assistant Professor (Affiliated) Radiology

Natural language processing of imaging and biomedical text in electronic health records, building real-time decision support systems using qualitative and quantitative features of imaging data, retrospective data mining of imaging text corpus in population studies, leveraging informatics for early cancer detection


Olivier Gevaert, PhD
Assistant Professor, Medicine - Biomedical Informatics Research
My lab focuses on biomedical data fusion: the development of machine learning methods for biomedical decision support using multi-scale biomedical data. Previously we pioneered data fusion work using Bayesian and kernel methods studying breast and ovarian cancer. Additionally, we developed computational algorithms for the identification of driver genes using multi-omics data. 

Email | 650-721-2378 | Google Scholar »

Safwan Safar Halabi, MD
Clinical Assistant Professor, Radiology - Pediatric Radiology

Research interests include clinical and imaging informatics, clinical outcomes and population health, clinical data mining, workflow efficiencies (Lean and Six-Sigma), patient and physician-centered communication, mobile and telemedicine/teleradiology, and fetal imaging (advanced US and MRI techniques).

Email |  (650) 723-0705

Robert J. Herfkens, MD
Professor of Radiology, Associate Chair for Clinical Technology

Imaging of cardiovascular diseases with CT, magnetic resonance imaging and spectroscopy

Email | 650-723-4733 

R. Brooke Jeffrey, MD
Professor, Radiology, Associate Chair for Academic Affairs

Pancreatic MDCT, Thyroid ultrasound/biopsy, Virtual Colonoscopy, Imaging of appendicitis, Hepatic MDCT, Capsule ultrasound (wireless) of GI tract

Email | 650-723-8310 

Nishita Kothary, MD
Associate Professor, Radiology

Interventional Oncology: Percutaneous and transarterial interventions for diagnosis and treatment of primary and metastatic tumors (lung, liver and renal); Research Interest: Gastrointestinal and Hepatic Oncology

Email | 650-498-6020 

David Larson, MD
Associate Professor, Pediatric Radiology
Associate Chair of Performance Improvement, Department of Radiology

Quality measurement and improvement in radiology, CT radiation dose optimization, probability modeling of likelihood of acute appendicitis in children based on ultrasound

Email | 650-723-8406 | Google Scholar »

Charles Lau, MD, MBA
Clinical Associate Professor, Diagnostic/Interventional Radiologist

Research interests include clinical decision support tool development on mobile platforms, effective user interface design for clinical software, and use of time-study methods in clinical radiology practice environment to improve performance and workplace satisfaction.


Ann Leung, MD
Professor, Radiology, Diagnostic Radiology, Chief of Thoracic Imaging

High-resolution computed tomography of the thorax,, particularly its application in the setting of acute lung disease in the immunocompromised host; quantitative assessment of abnormalities, using spiral CT; and enhancement characteristics of lung cancers on, CT and MRI

Email | 650-725-0541 

Ruijiang Li, PhD
Assistant Professor (Research) of Radiation Oncology (Radiation Physics)
Our lab focuses on the development of quantitative imaging biomarkers for prognostication and prediction of therapy response in cancer. We integrate multi-modality imaging (such as PET/CT, MRI) and employ advanced image analysis and statistical/machine learning tools to aid the discovery of novel imaging characteristics with clinical relevance. 
Email | 650-721-4449

Jafi Lipson, MD
Assistant Professor, Radiology

Research interests include mammographic density and breast cancer risk assessment; early breast cancer detection and extent of disease evaluation using contrast enhanced mammography and MRI; and novel blood and imaging biomarkers of breast cancer burden and neoadjuvant treatment response.

Email | 650-724-0362 

Ying Lu, PhD
Professor, Biomedical Data Science and, by courtesy, Radiology (Molecular Imaging Program)

Research interests include biostatistics, clinical trials, statistical evaluation of medical diagnostic tests, radiology, osteoporosis, meta-analysis, and medical decisoin making.

Email | 650-736-8300

Matthew Lungren, MD, MPH
Assistant Professor, Pediatric Radiology

Research interests include natural language processing and statistical data modeling for predicting imaging test outcomes, data mining as an approach for epidemiologic problem solving, building integrative clinical support tools, and deep learning for medical image analysis.  

Email | 650-723-3043

Parag Mallick, MD
Assistant Professor, Radiology
Our general hope is to apply systems biology's complimentary computational and experimental methods in hopes that experimental results motivate large-scale computational studies, which initiate new experimental explorations. We hope this synergistic combination will provide insight into the relationship between molecular phenomena and organismic phenomena.
Email | 650-723-4551 

Andrew Ng, PhD
Associate Professor, Computer Science and Electrical Engineering

Research interests include AI, Machine Learning, Deep Learning, and the applications of these techniques to healthcare. Particular interest in conversational agents (e.g., Melody the Medical Assistant), medical imaging, and machine learning from EHR. 

Email | 650-725-2593 

David Paik, PhD
Director, Imaging Science at Elucid Bioimaging Inc.

Dr. Paik's research interests lie at the intersection of radiology, molecular biology and informatics. He focuses on developing and validating computational methodologies for extracting useful information content from anatomic, functional and molecular images, drawing upon image processing, computer vision, computer graphics, computational geometry, machine learning, biostatistics, modeling and simulation.


Killian M. Pohl, PhD
Senior Scientist, SRI International
Adjunct Assistant Professor, Department of Psychiatry & Behavioral Sciences

Medical Image Analysis

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