Simon Liu


Medical Student, David Geffen School of Medicine, University of California Los Angeles.

Summary

I am a MS2 at the David Geffen School of Medicine at the University of California Los Angeles, interested in the application of deep learning algorithms to improve patient diagnostic and therapeutic outcomes. My recent work involves applying natural language processing and image classification to medical genetics datasets.

Education

08/2023 - present Doctor of Medicine, University of California Los Angeles, Los Angeles, CA. (expected May 2027)

08/2017 - 05/2021 Bachelor of Science, Biomedical Engineering, Johns Hopkins University, Baltimore, MD.

Experience

Research

07/2021 - 07/2023 Postbaccalaureate Fellow, National Human Genome Research Institute, Bethesda, MD.

02/2020 - 05/2021 Software Engineer, Neuroplastic Surgery Research Laboratory, Johns Hopkins University, Baltimore, MD, USA.

12/2018 - 03/2020 Research Analyst, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.

07/2018 - 03/2020 Laboratory Assistant, STAR-ORC, University of Maryland School of Medicine, Baltimore, MD, USA.

Leadership

10/2023 - present Co-Coordinator, Anesthesiology Student Interest Group, Los Angeles, CA, USA

10/2023 - present Community Health Co-Chair, Asian Pacific American Medical Student Association, Los Angeles, CA, USA

10/2023 - present Class Treasurer, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA

04/2018 - 05/2021 Head of Manufacturing, Health 3D, LLC, Baltimore, MD, USA.

11/2019 - 12/2020 Vice President of Finance, Alpha Kappa Psi, Rho Psi Chapter, Baltimore, MD, USA

05/2019 - 11/2019 Pledge Educator, Alpha Kappa Psi, Rho Psi Chapter, Baltimore, MD, USA

Volunteering

10/2021 - 07/2023 Care Coordinator, Pan Asian Volunteer Health Clinic, Chinese Culture and Community Service Center, Gaithersburg, MD.

Teaching

08/2020 - 05/2021 Course Assistant, Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.

Scholarship

A list is also available on Google Scholar and Web of Science.

Journal Articles

Li, Y., Ritzel, R. M., He, J., Liu, S., Zhang, L., Wu, J. (2024). Ablation of the integrin CD11b mac-1 limits deleterious responses to traumatic spinal cord injury and improves functional recovery in mice. Cells. (submitted)

J-11 Jia, P., Peng, Q., Fan, X., Zhang, Y., Xu, H., Li, J., Sonita, H., Liu, S., Le, A., Hu, Q., Zhao, T., Zhang, S., Wang, J., Zille, M., Jiang, C., Chen, X., & Wang, J. (2024). Immune‐mediated disruption of the blood–brain barrier after intracerebral hemorrhage: Insights and potential therapeutic targets. CNS Neuroscience & Therapeutics, 30(7). https://doi.org/10.1111/cns.14853 [pdf]

J-10 Liu, Y., Chen, S., Liu, S., Wallace, K. L., Zille, M., Zhang, J., Wang, J., & Jiang, C. (2023). T-cell receptor signaling modulated by the co-receptors: Potential targets for stroke treatment. Pharmacological Research, 192, 106797. https://doi.org/10.1016/j.phrs.2023.106797 [pdf]

J-9 Zhang, Z., Li, Y., Shi, J., Zhu, L., Dai, Y., Fu, P., Liu, S., Hong, M., Zhang, J., Wang, J., & Jiang, C. (2022). Lymphocyte-related immunomodulatory therapy with Siponimod (BAF-312) improves outcomes in mice with acute intracerebral hemorrhage. Aging and Disease. https://doi.org/10.14336/ad.2022.1102 [pdf]

J-8 Jiang, C., Guo, H., Zhang, Z., Wang, Y., Liu, S., Lai, J., Wang, T. J., Li, S., Zhang, J., Zhu, L., Fu, P., Zhang, J., & Wang, J. (2022). Molecular, pathological, clinical, and therapeutic aspects of perihematomal edema in different stages of intracerebral hemorrhage. Oxidative Medicine and Cellular Longevity, 2022, 1–38. https://doi.org/10.1155/2022/3948921 [pdf]

J-7 Hutfless, S., Shiratori, Y., Chu, D., Liu, S., & Kalloo, A. (2022). Risk factors for infections after endoscopic retrograde cholangiopancreatography (ERCP): A retrospective cohort analysis of US Medicare Fee-for-Service claims, 2015–2021. BMJ Open, 12(9). https://doi.org/10.1136/bmjopen-2022-065077 [pdf]

J-6 Sun, C., Han, Y., Zhang, R., Liu, S., Wang, J., Zhang, Y., Chen, X., Jiang, C., Wang, J., Fan, X., & Wang, J. (2022). Regulated necrosis in COVID-19: A double-edged sword. Frontiers in Immunology, 13. https://doi.org/10.3389/fimmu.2022.917141 [pdf]

J-5 Hutfless, S., Jasper, R. A., Tilak, A., Ghosh, T., Kedia, S., Liu, S., Urrunaga, N. H., Josephson, M., Narang, A., Miller, S., Chen, P.-H., Joseph, S., & Brant, S. R. (2022). A systematic review of Crohn’s disease case definitions in administrative or claims databases. Inflammatory Bowel Diseases. https://doi.org/10.1093/ibd/izac131 [pdf]

J-4 Ledgister Hanchard, S. E.*, Dwyer, M. C.*, Liu, S.*, Hu, P., Tekendo-Ngongang, C., Waikel, R. L., Duong, D., & Solomon, B. D. (2022). Scoping review and classification of Deep Learning in Medical Genetics. Genetics in Medicine. https://doi.org/10.1016/j.gim.2022.04.025 *Co-first authors. [pdf]

J-3 Duong, D., Hu, P., Tekendo-Ngongang, C., Hanchard, S. E., Liu, S., Solomon, B. D., & Waikel, R. L. (2022). Neural networks for classification and image generation of aging in genetic syndromes. Frontiers in Genetics, 13. https://doi.org/10.3389/fgene.2022.864092 [pdf]

J-2 Li, Y., Ritzel, R. M., He, J., Cao, T., Sabirzhanov, B., Li, H., Liu, S., Wu, L. J., & Wu, J. (2021). The voltage-gated proton channel Hv1 plays a detrimental role in contusion spinal cord injury via extracellular acidosis-mediated neuroinflammation. Brain, behavior, and immunity, 91, 267–283. https://doi.org/10.1016/j.bbi.2020.10.005 [pdf]

J-1 Li, Y., Ritzel, R. M., Khan, N., Cao, T., He, J., Lei, Z., Matyas, J. J., Sabirzhanov, B., Liu, S., Li, H., Stoica, B. A., Loane, D. J., Faden, A. I., & Wu, J. (2020). Delayed microglial depletion after spinal cord injury reduces chronic inflammation and neurodegeneration in the brain and improves neurological recovery in male mice. Theranostics, 10(25), 11376–11403. https://doi.org/10.7150/thno.49199 [pdf]

Conference Papers

C-1 Kenet, A., Mahadevan, E., Elangovan, S., Yan, J., Siddiq, K., Liu, S., Ladwa, A., Narayanan, R., Dakkak, J., Benassi, T., Ng, K., & Manbachi, A. (2020). Flexible piezoelectric sensor for real-time image-guided colonoscopies: a solution to endoscopic looping challenges in clinic. Proc. SPIE 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 1131520 (16 March 2020). https://doi.org/10.1117/12.2548873 [pdf]

Meeting Abstracts

Lu, A., Liu, S. (2024). Rapid expansion in optometry laser capsulotomy following scope of practice legislation. Ophthalmology. (submitted)

A-3 Patel, R., Palamuttam, N., Choi, Y., Diamreyan, M., Liu, S., Park, S.J., Salazar, S., & Goeddel, L. (2021). Intraoperative hypotension before critical care admission is common but not associated with in hospital mortality in non-cardiac surgery. Anesthesia & Analgesia, 132(5S):859-862. https://doi.org/10.1213/01.ane.0000803544.47940.c7 [pdf]

A-2 Hutfless, S. M., Chu, D., Liu, S., & Kalloo, A. N. (2020). Predictors of ERCP-associated infections in outpatient hospitals. Gastrointestinal Endoscopy, 91(6S):AB563. https://doi.org/10.1016/j.gie.2020.03.3314 [pdf]

A-1 Hutfless, S. M., Chen, P.-H., Miller, S. D., Josephson, M., Joseph, S., Urrunaga, N., Kedia, S., Liu, S., Arya, N., Hobstetter, L., Persad, P., Yeretssian, G., & Brant, S. R. (2020). Would K50* by any other name smell so sweet? A systematic review of claims-based Crohn’s disease case definitions. Gastroenterology, 158(6):S-408. https://doi.org/10.1016/s0016-5085(20)31712-1 [pdf]

Presentations

P-2 Liu, S.. Applications of deep learning in medical genetics. Presented at the June 2023 NHGRI Medical Genetics Branch meeting; Bethesda, MD. [pdf] [pic]

P-1 Liu, S., Ledgister Hanchard, S., Dwyer, M.C., Hu, P., Tekendo-Ngongang, C., Waikel, R.L., Duong, D., & Solomon, B.D. Applications of deep learning in medical genetics. Poster presented at: NIH Virtual Postbac Poster Day 2022; Bethesda, MD. [pdf]

Selected Awards

11/2023 President’s Volunteer Service Award, Chinese Culture and Community Service Center, Gaithersburg, MD, USA

07/2023 Nat R. Lazar Medical Scholarship, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA

03/2023 Scholarship for Excellence, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA

11/2022 Outstanding Volunteer Award, Chinese Culture and Community Service Center, Gaithersburg, MD, USA

05/2021 Linda Trinh Memorial Award, Johns Hopkins University, Baltimore, MD, USA

12/2020 Intuitive Surgical Best Project Award Runner Up, Deep Learning course, Johns Hopkins University, Baltimore, MD, USA.

11/2020 Provost’s Undergraduate Research Award, Johns Hopkins University, Baltimore, MD, USA.

10/2020 Upsilon Pi Epsilon, Johns Hopkins University, Baltimore, MD, USA.

11/2017 Joseph F. Strohecker Scholarship, Johns Hopkins University, Baltimore, MD, USA.

06/2017 Maryland Seal of Biliteracy, Maryland State Department of Education, Rockville, MD, USA.

Selected Press

2023 Liu, Simon. “Making an Impact Outside of the Laboratory.“ Office of Equity, Diversity, and Inclusion, National Institutes of Health. May 1, 2023.

2022 Stokel-Walker, Chris. “Amid war fears, archivists are racing to preserve Ukraine’s internet.“ Input Mag. February 18, 2022.

2019 Calabresi, Kaitlyn. “Interview with Health 3D.“ TCO Labs. November 20, 2019.

2018 Sangana, Neha. “Conference highlights student startups in Md.“ The Johns Hopkins News-Letter. November 15, 2018.

Selected Coursework

National Institutes of Health

BIOF398.81 Practical Deep Learning

Johns Hopkins University

EN.580.475 Biomedical Data Science

EN.580.480 Precision Care Medicine I

EN.580.481 Precision Care Medicine II

EN.580.488 Foundations of Computational Biology and Bioinformatics

EN.601.455 Computer Integrated Surgery I

EN.601.496 Computer Integrated Surgery II

EN.601.475 Machine Learning

EN.601.481 Machine Learning: Deep Learning

Metadata

This document lives online at https://simonliu.dev/cv/.

Based on markdown-cv by Eliseo Papa with styles inspired by David Whipp and Benjamin L. Moore.

MIT License.


Last updated: August 30, 2024