Frank Meng PhD

Assistant Professor, General Internal Medicine

150 S Huntington Avenue | (857) 364-4201

General Internal Medicine


Frank Meng, PhD is an Assistant Professor of Medicine in General Internal Medicine at the Chobanian and Avedisian School of Medicine and the Associate Director of Clinical Informatics at the VA Boston Healthcare System. Before entering academia, Dr. Meng worked as a software engineer and a project leader at companies like IBM and The Aerospace Corporation. He began working in the medical field in 2013 when he first taught a course called "Introduction to medical informatics seminar" at UCLA. Since then he has published papers and given lectures, but his technological background is apparent in his writing, which includes big data and informatics as they related to the medical field.


Computer Science, PhD, University of California, Los Angeles School of Medicine, 1999


Published on 11/12/2021

Dhond R, Acher R, Leatherman S, Page S, Sanford R, Elbers D, Meng F, Ferguson R, Brophy MT, Do NV. Rapid implementation of a modular clinical trial informatics solution for COVID-19 research. Inform Med Unlocked. 2021; 27:100788. PMID: 34786452.

Published on 8/17/2020

Elbers DC, Fillmore NR, Sung FC, Ganas SS, Prokhorenkov A, Meyer C, Hall RB, Ajjarapu SJ, Chen DC, Meng F, Grossman RL, Brophy MT, Do NV. The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database. Patterns (N Y). 2020 Sep 11; 1(6):100083. PMID: 33205130.

Published on 10/2/2019

Do N, Grossman R, Feldman T, Fillmore N, Elbers D, Tuck D, Dhond R, Selva L, Meng F, Fitzsimons M, Ajjarapu S, Ayandeh S, Hall R, Do S, Brophy M. The Veterans Precision Oncology Data Commons: Transforming VA data into a national resource for research in precision oncology. Semin Oncol. 2019 Aug - Oct; 46(4-5):314-320. PMID: 31629530.

Published on 8/21/2019

Do NV, Ramos JC, Fillmore NR, Grossman RL, Fitzsimons M, Elbers DC, Meng F, Johnson BR, Ajjarapu S, DeDomenico CL, Pierce-Murray KE, Hall RB, Do AF, Gaynor K, Elkin PL, Brophy MT. Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons. Stud Health Technol Inform. 2019 Aug 21; 264:1453. PMID: 31438177.

Published on 4/29/2019

Lee JSH, Darcy KM, Hu H, Casablanca Y, Conrads TP, Dalgard CL, Freymann JB, Hanlon SE, Huang GD, Kvecher L, Maxwell GL, Meng F, Moncur JT, Turner C, Wells JM, Wilkerson MD, Zhu K, Ramoni RB, Shriver CD. From Discovery to Practice and Survivorship: Building a National Real-World Data Learning Healthcare Framework for Military and Veteran Cancer Patients. Clin Pharmacol Ther. 2019 07; 106(1):52-57. PMID: 30838639.

Published on 12/22/2016

Shen S, Han SX, Petousis P, Weiss RE, Meng F, Bui AA, Hsu W. A Bayesian model for estimating multi-state disease progression. Comput Biol Med. 2017 Feb 01; 81:111-120. PMID: 28038345.

Published on 12/1/2016

Morioka C, Meng F, Taira R, Sayre J, Zimmerman P, Ishimitsu D, Huang J, Shen L, El-Saden S. Automatic Classification of Ultrasound Screening Examinations of the Abdominal Aorta. J Digit Imaging. 2016 Dec; 29(6):742-748. PMID: 27400914.

Published on 5/14/2015

Meng F, Morioka C. Automating the generation of lexical patterns for processing free text in clinical documents. J Am Med Inform Assoc. 2015 Sep; 22(5):980-6. PMID: 25977405.

Published on 10/22/2011

Meng F, Morioka CA, El-Saden S. Determining word sequence variation patterns in clinical documents using multiple sequence alignment. AMIA Annu Symp Proc. 2011; 2011:934-43. PMID: 22195152.

Published on 3/1/2008

Morioka CA, El-Saden S, Pope W, Sayre J, Duckwiler G, Meng F, Bui A, Kangarloo H. A methodology to integrate clinical data for the efficient assessment of brain-tumor patients. Inform Health Soc Care. 2008 Mar; 33(1):55-68. PMID: 18604762.

View full list of 23 publications.