William Meyerson, MD, PhD

William Meyerson

Undergraduate School
Yale College

Graduate School
Yale Graduate School of Arts & Sciences

Medical School
Yale School of Medicine

Interests and Career Goals     

I am training to be a physician-scientist in mental health and data science. My clinical interests are broad-ranging. My current academic focus in using large-scale social media data as a data source for understanding mental health.

Favorite Pastimes   

Board games, running, exploring nature, and following thinkers on Twitter.

Strengths of the program   

The program leadership and teaching attendings value and understand residents which makes for a supportive and enriching training culture. We receive excellent training in the art and science of psychiatry across a broad range of conditions and patients. The residents like and support each other. In addition, as a Physician-Scientist track member, I enjoy generous protected time each year, complete academic freedom to work with Duke's outstanding faculty across departments, and professional development and community from track leadership and members. I have the support I need to grow as a physician-scientist and achieve my goals.

Research Interests

I study human behavior at scale in the free-living environment of social media and work with PI Rick Hoyle. I got my start in social media mental health research by analyzing the sleep patterns of social media users because the timestamps of their posts are objective, machine-readable data and am now branching out to studying other aspects of mental health on social media such as substance use. In the coming years, one direction that matters to me would be translating my scholarly work into innovations that help people to make healthier and kinder decisions online.


  • Meyerson W, Andrade FC, Hoyle RH. Causal impact of evening social media use on delayed sleep: Suggestive evidence from 230 million Reddit timestamps. (2022). PsyArXiv https://doi.org/10.31234/osf.io/vgq76 [Preprint].
  • Meyerson W, Fineberg S, Song YK, Faber A, Ash G, Andrade FC, Corlett P, Gerstein MB, Hoyle RH. BEDDiT: A validated R package for inferring the bedtimes of Reddit users from the timestamps of their posts. (2022). PsyArXiv https://doi.org/10.31234/osf.io/9mpbw [Preprint].
  • Ash G, …, Meyerson W, et al. Establishing a Global Standard for Wearable Devices in Sport and Exercise Medicine: Perspectives from Academic and Industry Stakeholders. (2021). Sports Med 51(11):2237-2250.
  • Bailey M, Meyerson W, et al. Comparison of exome variant calls in 746 cancer samples with joint whole exome and whole genome sequencing. (2020) Nat Commun. 11: 4748.
  • Zhang J, Lee D, Dhiman V, Jiang P, Xu J, McGillivray P, Yang H, Liu J, Meyerson W, et al. An integrative ENCODE resource for cancer genomics. (2020). Nat Commun. 11: 3696.
  • Meyerson W, Leisman J, Navarro F, Gerstein MB. Origins and characterization of variants shared between a germline and somatic variant database. (2020). BMC Bioinformatics 21: 227.
  • Kumar S, Warrell J, Li S, McGillivray P, Meyerson W, et al. Passenger mutations in 2500 cancer genomes: Overall molecular functional impact and consequences. (2020). Cell 180: 915-927e16.
  • Salichos L, Meyerson W, Warrell J, Gerstein MB. Estimating growth patterns and driver effects in tumor evolution from individual samples (2020). Nat Commun 11: 732.
  • Wang B, Yan C, Lou S, Emani P, Li B, Xu M, Kong X, Meyerson W, Yang YT, Lee D, Gerstein MB. Integrating genetic and structural features: building a hybrid physical-statistical classifier for variants related to protein-drug interactions. Structure. (2019). Structure 27: 1469-1481e3.
  • Navarro F, Mohsen H, Yan C, Li S, Gu M, Meyerson W, Gerstein MB. Genomics and data science: an application within an umbrella. Genome Biology (2019). 20:109.
  • McGillivray P, Clarke D, Meyerson W, Zhang J, Lee D, Gu M, Kumar S, Zhou H, Gerstein MB. Network Analysis as a Grand Unifier in Biomedical Data Science. (2018). Annual Review of Biomedical Data Science Vol. 1.
  • Wang D, Yan KK, Sisu C, Cheng C, Rozowsky J, Meyerson W, Gerstein MB. Loregic: a method to characterize the cooperative logic of regulatory factors. (2015). PLoS Comput Biol 11: e1004132.

Poster Presentations

  • Meyerson W. Temporal dynamics of depression analyzed across 6.4 million Reddit posts. Thomas R. Ten Have Symposium on Statistics in Mental Health. New Haven, CT. May 2019.
  • Meyerson W and Gerstein MB. Genomic variants concurrently listed in a somatic and a germline mutation database have implications for disease-variant discovery and genomic privacy. American Society of Human Genetics Annual Meeting. San Diego, CA. October 2018.

Other Presentations

  • Meyerson W. “Large-scale longitudinal analysis of social media data to estimate the association between baseline low self-regulation and incident problematic substance use.” Research Colloquium for Junior Psychiatrist Investigators, American Psychiatry Association, New Orleans, LA, May 2022.
  • Meyerson W. “Does bedtime social media use cause delayed sleep? A causal analysis of Reddit timestamps.” Technology in Psychiatry Summit. McLean Hospital, Belmont, MA, October 2021.