Jennifer Hadlock, MD

Assistant Professor and Director of Medical Data Science

Jennifer Hadlock

Dr. Hadlock’s research aim is to accelerate understanding of transitions between wellness and disease. Her lab focuses on developing models based on high-fidelity longitudinal observations of multiomics, phenotype, exposures and patient experience. Current areas of research include immune-mediated inflammatory diseases, chronic multimorbidities and maternal/fetal health, as well as improving machine learning methods for supporting translational systems medicine.

She received her MD at the University of Washington School of Medicine in 2015, including training in the Rural/Urban Underserved Pathway. Prior to that, she was a Principal Software Engineer in research and development at Microsoft, analyzing and optimizing end-user quality for natural language processing, geographic information systems and real-time digital imaging. She successfully led numerous teams working on technologies that have been used by hundreds of millions of people worldwide.

Medical informatics, machine learning, immune-mediated inflammatory disease, maternal/fetal health

2015
MD, University of Washington School of Medicine

2003
BS Computing and Software Systems, University of Washington

1990
BS Mathematics, Geographic Information Systems, University of Oregon

Molani, Sevda, Patricia V. Hernandez, Ryan T. Roper, Venkata R. Duvvuri, Andrew M. Baumgartner, Jason D. Goldman, Nilüfer Ertekin-Taner, et al. 2022. “Risk Factors for Severe COVID-19 Differ by Age for Hospitalized Adults.” Scientific Reports 12 (1): 6568. https://doi.org/10.1038/s41598-022-10344-3. Cite Download
Fecho, Karamarie, Anne E. Thessen, Sergio E. Baranzini, Chris Bizon, Jennifer J. Hadlock, Sui Huang, Ryan T. Roper, et al. 2022. “Progress toward a Universal Biomedical Data Translator.” Clinical and Translational Science. https://doi.org/10.1111/cts.13301. Cite
Molani, Sevda, Andrew M. Baumgartner, Yeon Mi Hwang, Venkata R. Duvvuri, Jason D. Goldman, and Jennifer J. Hadlock. 2022. “Time to Reinfection and Vaccine Breakthrough SARS-CoV-2 Infections: A Retrospective Cohort Study,” 2022.02.07.22270613. https://www.medrxiv.org/content/10.1101/2022.02.07.22270613v1. Cite Download
Baumgartner, Andrew, Sevda Molani, Qi Wei, and Jennifer Hadlock. 2022. “Imputing Missing Observations with Time Sliced Synthetic Minority Oversampling Technique.” ArXiv:2201.05634 [Physics, q-Bio, Stat]. http://arxiv.org/abs/2201.05634. Cite Download
Piekos, Samantha N., Ryan T. Roper, Yeon Mi Hwang, Tanya Sorensen, Nathan D. Price, Leroy Hood, and Jennifer J. Hadlock. 2022. “The Effect of Maternal SARS-CoV-2 Infection Timing on Birth Outcomes: A Retrospective Multicentre Cohort Study.” The Lancet. Digital Health 4 (2): e95–104. https://doi.org/10.1016/S2589-7500(21)00250-8. Cite Download
Su, Yapeng, Dan Yuan, Daniel G. Chen, Rachel H. Ng, Kai Wang, Jongchan Choi, Sarah Li, et al. 2022. “Multiple Early Factors Anticipate Post-Acute COVID-19 Sequelae.” Cell 0 (0). https://doi.org/10.1016/j.cell.2022.01.014. Cite Download
Diaz, George A, Alyssa B Christensen, Tobias Pusch, Delaney Goulet, Shu-Ching Chang, Gary L Grunkemeier, Paul A McKelvey, et al. 2021. “Remdesivir and Mortality in Patients With Coronavirus Disease 2019.” Clinical Infectious Diseases, ciab698. https://doi.org/10.1093/cid/ciab698. Cite Download
Jiang, Yonghou, Fergal Duffy, Jennifer Hadlock, Andrew Raappana, Sheila Styrchak, Ingrid Beck, Fred D. Mast, et al. 2021. “Angiotensin II Receptor I Auto-Antibodies Following SARS-CoV-2 Infection.” PloS One 16 (11): e0259902. https://doi.org/10.1371/journal.pone.0259902. Cite Download
Lee, Jihoon W., Yapeng Su, Priyanka Baloni, Daniel Chen, Ana Jimena Pavlovitch-Bedzyk, Dan Yuan, Venkata R. Duvvuri, et al. 2021. “Integrated Analysis of Plasma and Single Immune Cells Uncovers Metabolic Changes in Individuals with COVID-19.” Nature Biotechnology. https://doi.org/10.1038/s41587-021-01020-4. Cite Download
Lee, Jewel Y., Sevda Molani, Chen Fang, Kathleen Jade, D. Shane O’Mahony, Sergey A. Kornilov, Lindsay T. Mico, and Jennifer J. Hadlock. 2021. “Ambulatory Risk Models for the Long-Term Prevention of Sepsis: Retrospective Study.” JMIR Medical Informatics 9 (7): e29986. https://doi.org/10.2196/29986. Cite Download
Su, Yapeng, Dan Yuan, Daniel G. Chen, Kai Wang, Jongchan Choi, Chengzhen L. Dai, Sunga Hong, et al. 2021. “Heterogeneous Immunological Recovery Trajectories Revealed in Post-Acute COVID-19.” MedRxiv, 2021.03.19.21254004. https://doi.org/10.1101/2021.03.19.21254004. Cite Download
Dai, Chengzhen L., Sergey A. Kornilov, Ryan T. Roper, Hannah Cohen-Cline, Kathleen Jade, Brett Smith, James R. Heath, et al. 2021. “Characteristics and Factors Associated with COVID-19 Infection, Hospitalization, and Mortality Across Race and Ethnicity.” Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America. https://doi.org/10.1093/cid/ciab154. Cite Download
Goldman, Jason D., Kai Wang, Katharina Röltgen, Sandra C. A. Nielsen, Jared C. Roach, Samia N. Naccache, Fan Yang, et al. 2020. “Reinfection with SARS-CoV-2 and Failure of Humoral Immunity: A Case Report.” https://www.medrxiv.org/content/10.1101/2020.09.22.20192443v1. Cite Download
Su, Yapeng, Daniel Chen, Dan Yuan, Christopher Lausted, Jongchan Choi, Chengzhen L. Dai, Valentin Voillet, et al. 2020. “Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19.” Cell, S0092867420314446. https://doi.org/10.1016/j.cell.2020.10.037. Cite Download
Fecho, Karamarie, Stanley C. Ahalt, Saravanan Arunachalam, James Champion, Christopher G. Chute, Sarah Davis, Kenneth Gersing, et al. 2019. “Sex, Obesity, Diabetes, and Exposure to Particulate Matter among Patients with Severe Asthma: Scientific Insights from a Comparative Analysis of Open Clinical Data Sources during a Five-Day Hackathon.” Journal of Biomedical Informatics 100: 103325. https://doi.org/10.1016/j.jbi.2019.103325. Cite
Ahalt, Stanley C., Christopher G. Chute, Karamarie Fecho, Gustavo Glusman, Jennifer Hadlock, Casey Overby Taylor, Emily R. Pfaff, et al. 2019. “Clinical Data: Sources and Types, Regulatory Constraints, Applications.” Clinical and Translational Science. https://doi.org/10.1111/cts.12638. Cite Download
Robinson, Max, Jennifer Hadlock, Jiyang Yu, Alireza Khatamian, Aleksandr Y. Aravkin, Eric W. Deutsch, Nathan D. Price, Sui Huang, and Gustavo Glusman. 2018. “Fast and Simple Comparison of Semi-Structured Data, with Emphasis on Electronic Health Records.” BioRxiv, 293183. https://doi.org/10.1101/293183. Cite Download