Resume
Experience Link to heading
| Company | Role | Dates | Location | |
|---|---|---|---|---|
 | Stealth Mode Startup | Senior Machine Learning Engineer | 2025 – Present | San Francisco, CA |
 | UCSF | Senior Machine Learning Engineer | 2022 – 2025 | San Francisco, CA |
 | Syntegra | Machine Learning Engineer | 2021 – 2022 | San Francisco, CA |
 | LifeBell AI | Lead Data Scientist | 2020 – 2021 | Remote Atlanta, GA |
| UCSF | Data Scientist | 2018 – 2020 | San Francisco, CA |
 | NASA Education and Public Outreach | Embedded Systems Engineer | 2014 – 2018 | Rohnert Park, CA |
Education Link to heading
| School | Degree | Date | |
|---|---|---|---|
 | Stanford University | MS Computational and Mathematical Engineering | 2018 |
 | Sonoma State University | BS Physics and Astronomy, and BA Mathematics | 2014 |
 | Santa Rosa Junior College | AS Mathematics | 2011 |
Certifications Link to heading
| Organization | Certificate | Date | |
|---|---|---|---|
 | ColumbiaX | CSMM101x: Artificial Intelligence | 2017 |
| ColumbiaX | CSMM.102x: Machine Learning | 2017 |
Publications Link to heading
Farrand, E., Chung, A., Joshua, J., Dong, H., Mills, H., Lee, A., … & Butte, A. (2026). Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study. EClinicalMedicine, 93.
Halabi, C., Mills, H., DiGiorgio, A. M., Schenk, G., Israni, S., Peek-Asa, C., & Manley, G. T. (2026). Civilian Traumatic Brain Injury Is Associated with Longitudinally Increased Risk of PTSD, Suicidality, and Other Mental Health Diagnoses. Journal of neurotrauma, 8977151251414145.
Dundas, N. E., Law, T., Brender, T., Mills, H., Espejo, E., A Heintz, T., … & Cobert, J. (2026). All That Shines Is Not Gold: Maintaining Scientific Rigor When Evaluating, Interpreting, and Reviewing Studies Using Large Language Models. Anesthesiology, 144(2), 272-288.
Mashlah, A., Marini, S., Mills, H., Yahya, T., Radmanesh, F., Chalif, J., … & Izzy, S. (2025). Traumatic Spinal Cord Injury and Subsequent Risk of Developing Chronic Cardiovascular, Neurologic, Psychiatric, and Endocrine Disorders. JAMA Network Open, 8(11), e2541157-e2541157.
Cu, C. W., Dundas, N. E., Heintz, T., Sheikh, Z. A., Alonso-Bermudez, B., Walker, J., …, Mills, H., … & Cobert, J. (2025). Validity of two subjective skin tone scales and its implications on healthcare model fairness. npj Digital Medicine, 8(1), 595.
Marquez-Grap, G., Leung, A., Orcales, F., Kranyak, A., Johnson, C., Smith, P., …, Mills, H., … & Liao, W. (2025). Monitoring atopic dermatitis using mobile-app based photography and surveys. Journal of Dermatological Treatment, 36(1), 2555983.
Marini, S., Alwakeal, A. R., Mills, H., Bernstock, J. D., Mashlah, A., Hassan, M. T., … & Zafonte, R. (2025). Traumatic Brain Injury and Risk of Malignant Brain Tumors in Civilian Populations. JAMA network open, 8(8), e2528850-e2528850.
Miramontes, S., Khan, U., Zimmerman, S., Ferguson, E. L., Mills, H., Oskotsky, B., … & Tsoy, E. (2025). Diagnostic Reversion in Dementia Care: A Real-World Analysis of Mild Cognitive Impairment Diagnoses Following Dementia in a Large Electronic Medical Record System. medRxiv.
Yang, H. Y., Raghunathan, K., Widera, E., Pantilat, S. Z., Brender, T., Heintz, T. A., …, Mills, H. … & Cobert, J. (2025). Lexical associations can characterize clinical documentation trends related to palliative care and metastatic cancer. Scientific Reports, 15(1), 17245.
Halabi, C., Izzy, S., DiGiorgio A. M., Mills, H., Radmanesh, F., Yue, J. K., … Zafonte, R., & Manley, G. T. (2024). Traumatic Brain Injury and Risk of Incident Comorbidities. JAMA Network Open, 7(12), e2450499-e2450499.
McGowan, S. K., Corrales-Martinez, M. J., Brender, T., Smith, A. K., Kim, S., Harrison, K. L., Mills, H., … & Cobert, J. (2025). Unclear Trajectory and Uncertain Benefit: Creating a Lexicon for Clinical Uncertainty in Patients with Critical or Advanced Illness Using a Delphi Consensus Process. Medical Decision Making, 45(1), 34-44.
Cobert, J., Espejo, E., Boscardin, J., Mills, H., Ashana, D., Raghunathan, K., Heintz, T. A., Chapman, A. C., Smith, A. K., & Lee, S. (2024). Variation in Mentions of Race and Ethnicity in Notes in Intensive Care Units Across a Health Care System. American journal of critical care: an official publication, American Association of Critical-Care Nurses, 33(6), 462–466.
Kim, S., Mills, H., Brender, T., McGowan, S., Widera, E., Chapman, A. C., Harrison, K. L., Lee, S., Smith, A. K., Bamman, D., Gologorskaya, O., & Cobert, J. (2024). “My Mom Is a Fighter”: A Qualitative Analysis of the Use of Combat Metaphors in ICU Clinician Notes. Chest, 166(5), 1162–1172.
Cobert, J., Mills, H., Lee, A., Gologorskaya, O., Espejo, E., Jeon, S. Y., Boscardin, W. J., Heintz, T. A., Kennedy, C. J., Ashana, D. C., Chapman, A. C., Raghunathan, K., Smith, A. K., & Lee, S. J. (2024). Measuring Implicit Bias in ICU Notes Using Word-Embedding Neural Network Models. Chest, 165(6), 1481–1490.
Tang, A. S., Rankin, K. P., Cerono, G., Miramontes, S., Mills, H., Roger, J., … & Sirota, M. (2024). Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights. Nature Aging, 1-17.
Farrand, E., Gologorskaya, O., Mills, H., Radhakrishnan, L., Collard, H. R., & Butte, A. J. (2023). Machine-Learning Algorithm to Improve Cohort Identification in Interstitial Lung Disease. American Journal of Respiratory and Critical Care Medicine, 207(10), 1398-1401.
Aras, M. A., Abreau, S., Mills, H., Radhakrishnan, L., Klein, L., Mantri, N., Rubin, B., Barrios, J., Chehoud, C., Kogan, E., Gitton, X., Nnewihe, A., Quinn, D., Bridges, C., Butte, A. J., Olgin, J. E., & Tison, G. H. (2023). Electrocardiogram Detection of Pulmonary Hypertension Using Deep Learning. Journal of cardiac failure, 29(7), 1017–1028.
Mahendra, M., Luo, Y., Mills, H., Schenk, G., Butte, A. J., & Dudley, R. A. (2021). Impact of Different Approaches to Preparing Notes for Analysis With Natural Language Processing on the Performance of Prediction Models in Intensive Care. Critical care explorations, 3(6), e0450