Frank Meng, PhD

Assistant Professor, Boston University Chobanian & Avedisian School of Medicine

Biography

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.

Publications

  • Published 3/20/2025

    Livingston NA, Mandavia AD, Banducci AN, Sistad Hall R, Loeffel LB, Davenport M, Mathes-Winnicki B, Ting M, Roth CE, Sarpong A, Newberger N, Hinds Z, Fonda JR, Chen D, Meng F. Identifying opioid relapse during COVID-19 using natural language processing of nationwide Veterans Health Administration electronic medical record data. J Psychopathol Clin Sci. 2025 May; 134(4):448-457. PMID: 40111824.

    Read at: PubMed

  • Published 3/19/2025

    Mandavia AD, Banducci AN, Simpson TL, Marx BP, Hawn SE, Hyde J, Ameral VE, Sistad Hall RE, Roth CE, Sarpong AA, Davenport M, Meng F, Stein MD, Livingston NA. Sex Differences in Suicide, Lethal Means, and Years of Potential Life Lost Among Veterans With Substance Use Disorder. Womens Health Issues. 2025 Mar 19. PMID: 40113455.

    Read at: PubMed

  • Published 10/31/2024

    Livingston NA, Mandavia AD, Banducci AN, Loeffel LB, Hall RS, Maloney M, Roth CE, Fonda JR, Davenport M, Meng F, Hyde J, Stein M. Emergency department visits, inpatient hospitalizations, and non-fatal and fatal drug overdoses during COVID-19 among Veterans with opioid use disorder. J Stud Alcohol Drugs. 2024 Oct 31. PMID: 39480692.

    Read at: PubMed

  • Published 4/14/2023

    Sweeney SM, Hamadeh HK, Abrams N, Adam SJ, Brenner S, Connors DE, Davis GJ, Fiore L, Gawel SH, Grossman RL, Hanlon SE, Hsu K, Kelloff GJ, Kirsch IR, Louv B, McGraw D, Meng F, Milgram D, Miller RS, Morgan E, Mukundan L, O'Brien T, Robbins P, Rubin EH, Rubinstein WS, Salmi L, Schaller T, Shi G, Sigman CC, Srivastava S. Challenges to Using Big Data in Cancer. Cancer Res. 2023 Apr 14; 83(8):1175-1182. PMID: 36625843.

    Read at: PubMed

  • Published 4/14/2023

    Sweeney SM, Hamadeh HK, Abrams N, Adam SJ, Brenner S, Connors DE, Davis GJ, Fiore LD, Gawel SH, Grossman RL, Hanlon SE, Hsu K, Kelloff GJ, Kirsch IR, Louv B, McGraw D, Meng F, Milgram D, Miller RS, Morgan E, Mukundan L, O'Brien T, Robbins P, Rubin EH, Rubinstein WS, Salmi L, Schaller TH, Shi G, Sigman CC, Srivastava S. Case Studies for Overcoming Challenges in Using Big Data in Cancer. Cancer Res. 2023 Apr 14; 83(8):1183-1190. PMID: 36625851.

    Read at: PubMed

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Websites

Education

  • University of California, Los Angeles School of Medicine, PhD

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