#career

4 Signposts

2 Seedlings

2 Trees

2 Chests

My path

Education

Ph.D. in Electrical & Computer Engineering, Medical Devices & Systems
University of California, San Diego, 2019
Advised by Vikash Gilja
Thesis: Neural Correlates of Unconstrained Human Behavior

B.S. in Engineering Physics, Photonics
Stanford University, 2013
Advised by Patricia Burchat, Mark Cappelli, Michael McGehee

Skills

programming: Bash, C/C++/C#, Python, MATLAB/Octave

• packages: CVAT, Docker, ffmpeg, Voxel51, Git, LabelStudio, NVIDIA Omniverse, Onnx, OpenCV, PyTorch, Scikit-Learn, Tensorflow
• cloud software: AWS, Google Cloud
• ai tools: ChatGPT, Gemini, Claude, DeepSeek, LLaMA

• OS: Windows, Unix, macOS

fabrication: Manual mill, lathe, soldering, laser cutter, 3D printing, general wood/metalworking

languages: English (fluent), Japanese (speaking), Tagalog (barely)

Professional experience

LookDeep Health, Oakland, CA
Computer Vision Engineer -> Senior Computer Vision Engineer (2022)
2019 – present

Applications of computer vision to augment clinical monitoring

$$$$ LookDeep’s AI + computer vision technologies augment the monitoring capabilities of nurses and doctors - helping improve patient safety and generating additional clinical insights.

Translational Neuroengineering Lab, San Diego, CA
Research Assistant, Advised by Vikash Gilja and Sonya Wang
2013 – 2019

Investigation of neural correlates to natural human behavior

$$$$ Developed a multi-modal, non-invasive recording system to captures naturalistic behavior of patients in a clinical environment. Data is recorded in parallel with neurophysiological readings from human patients with intractable epilepsy. By analyzing the relationship between behavioral and neural features, this work informs functional brain mapping, medical diagnostics for neurological disorders, and future brain-machine interfaces. Research is conducted in collaboration with the NYU School of Medicine and Rady Children’s Hospital - San Diego.

Persyst Development, Solana Beach, CA
Computational Scientist (Independent Contractor), Reported to Scott Wilson
2018 $$

Patting detection in neonatal EEG

$$$$ Designed, implemented, and evaluated neural network models for annotating artifact in EEG signals recorded from babies undergoing clinical monitoring for seizures.

Micro/nano-photonics Group, San Diego, CA
Research Assistant, Advised by Shayan Mookherjea
2013

Simulation of supercontinuum light generation in silicon

$$$$ Studied the telecommunication applications of spectral broadening monochromatic light. Researched and simulated previously proposed theoretical work to investigate the feasibility of supercontinuum generation techniques on silicon-photonic hardware.

Furukawa Electric, Inc., Yokohama, Japan
Research & Development Intern, Reported to Hideaki Hasegawa
2012

Consumption efficiency of MQW semiconductor lasers

$$$$ Collaborated with a team of 10 PhD researchers in industry. Studied, designed, and tested new models of waveguides implementing Multiple Quantum Well structures.

Stanford Plasma Physics Lab, Stanford, CA
Research Fellow, Advised by Mark Cappelli
2011

Thrust capabilities of magneto-ionized plasma through Helmholtz magnets

$$$$ Designed and built an experimental setup to characterize the thrust of low-energy plasma under a controlled magnetic field. The setup included a vacuum-sealed gas chamber, passed through two custom built Helmholtz coils.

Stanford University, Department of Physics, Stanford, CA
Research Assistant, Advised by Chao-lin Kuo
2010

Alternative low-Kelvin environment to analyze Cosmic Microwave Background Radiation

$$$$ Developed manufacturing techniques to create a flexible thermal insulation chamber, as an attachment to the BICEP2 arrays. The system augmented Cosmic Microwave Background sensing to increase the SNR of the experimental measurements.

Peer-reviewed publications

1. Gabriel, P., Rehani, P., Troy, T., Wyatt, T., Choma, M., and Singh, N. (2025) "Continuous patient monitoring with AI: real-time analysis of video in hospital care settings." Frontiers in Imaging (vol 4, 1547166) (project page)
2. Alasfour, A., Gabriel, P., Jiang, X., Shamie, I., Melloni, L., Thesen, T., Dugan, P., Friedman, D., Doyle, W., Devinsky, O. and Gonda, D. (2022) "Spatiotemporal dynamics of human high gamma discriminate naturalistic behavioral states." PLoS Computational Biology (vol 18.8, p.e1010401).
3. Martin, J., Gabriel, P., Gold, J., Haas, R., Davis, S., Gonda, D., Sharpe, C., Wilson, S., Nierenberg, N., Scheuer, M. and Wang, S. (2022) "Optical flow estimation improves automated seizure detection in neonatal EEG." Journal of Clinical Neurophysiology (vol 39.3, pp.235-239).
4. Gabriel, P., Chen, K., Alasfour, A., Pailla, T., Doyle, W., Devinsky, O., Friedman, D., Dugan, P., Melloni, L., Thesen, T., Gonda, D., Sattar, S., Wang, S.G, and Gilja, V. (2019) "Neural correlates of unstructured motor behaviors." Journal of Neural Engineering (vol 16.6, 066026).
5. Alasfour, A., Gabriel, P., Jiang, X., Shamie, I., Melloni, L., Thesen, T., Dugan, P., Friedman, D., Doyle, W., Devinsky, O., Gonda, D., Sattar, S., Wang, S., Halgren, E., and Gilja, V. (2019) "Coarse behavioral context decoding." Journal of Neural Engineering (vol 16.1, 016021).
6. Chen, K., Gabriel, P., Alasfour, A., Gong, C., Doyle, W., Devinsky, O., Friedman, D., Thesen, T., Gonda, D., Sattar, S., Wang, S., and Gilja, V. (2018) "Patient-specific pose estimation in clinical environments." IEEE Journal of Translational Engineering in Health and Medicine (vol. 6, pp. 1-11). IEEE.
7. Gabriel, P., Doyle, W., Devinsky, O., Friedman, D., Thesen, T. and Gilja, V. (2016) ”Neural correlates to automatic behavior estimations from RGB-D video in epilepsy unit.” In Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference (pp. 3402-3405). IEEE.

Presentations

1. Choma, M., Gabriel, P., et al. (2023, March). Feasibility of AI-Computer Vision Monitoring for At-Risk Delirium Patients. Poster at Society of Hospital Medicine Converge On Demand 2023, Austin, TX.
2. Pavon, J., Gabriel, P., et al. (2023, March). Monitoring Patient Activity Using AI Computer Vision, a Duke:LookDeep Partnership. Grand Rounds at Duke University Medical Center, Durham, NC.
3. Choma, M., Gabriel, P., et al. (2022, November). Initial Experience with AI-based Video Monitoring for Delirium-Associated Factors and Room Environment. Poster at Consultation-Liaison Psychiatry 2022, Atlanta, GA.
4. Parker, S., Gabriel, P., et al. (2022, August). Patient and Room Activity Video Summary (PRAVS) in the ICU: Rapidly Interpretable, ML-Generated Clinical Video Summaries of the Overnight Period. Poster at Machine Learning for Health Care 2022, Durham, NC.
5. Parker, S., Gabriel, P., et al. (2022, May). Continuous Artificial Intelligence Video Monitoring of ICU Patient Activity for Detecting Sedation, Delirium and Agitation. Poster at American Journal of Respiratory and Critical Care Medicine 2022, San Francisco, CA.
6. Gabriel, P. (2019, October). Unstructured Movements in the Epilepsy Monitoring Unit. Ph.D. Thesis Defense, UC San Diego, CA.
7. Gabriel, P. (2019, February). Applications of Brain-Machine Interfaces. Lecture for ECE 202: Medical Devices, UC San Diego, CA.
8. Gabriel, P. (2017, December). Quantifying Motor Semiology in the Pediatric Epilepsy Monitoring Unit using RGB-D Sensors. Poster at American Epilepsy Society Annual Conference 2017, Washington, DC.
9. Chen, K. and Gabriel, P. (2017, October). Patient-Specific Pose Estimation in a Clinical Environment. Poster at Socal Machine Learning Symposium, University of Southern California, CA.
10. Gabriel, P. (2017, September). An Introduction to Neurotechnologies. Talk at Robotics Graduate Student Seminar, UC San Diego, CA.
11. Gabriel, P. (2016, November). Decoding naturalistic kinematic states using electrocorticography in humans. Poster at Society for Neuroscience, San Diego, CA.
12. Gabriel, P. (2016, August). Towards Decoding Natural Human Behavior from Neural Correlates. Talk at IEEE EMBC 38th Conference, Orlando, FL.
13. Gabriel, P. (2016, March). Continuous behavior estimation of RGB-D video in epilepsy unit. Winning poster at NextMed MMVR22 Conference, Los Angeles, CA.

Teaching & mentoring

Introduction to Python (COGS 18)
Teaching Assistant $$ | $$ University of California, San Diego $$ | $$ 2018 $$
$$$$ Hands-on programming course for students in cognitive science and similar disciplines on how to productively use python. Contributed to course design and facilitated weekly discussion sections.

Machine Learning for Physical Applications (ECE 228)
Teaching Assistant $$ | $$ University of California, San Diego $$ | $$ 2018 $$
$$$$ Graduate level course on the applications of machine learning in research. Facilitated weekly discussion sections and managed online discussions for assignments.

Jacobs Undergraduate Mentoring Program (JUMP)
Mentor $$ | $$ University of California, San Diego $$ | $$ 2017 - 2018 $$
$$$$ Acting mentor for 1st and 2nd year undergraduate engineering students. Focus on building community and providing advise for rising students.

Free Behavior Research Group
Project Manager $$ | $$ University of California, San Diego $$ | $$ 2014 - Now $$
$$$$ Acting mentor and manager of research team for the study of naturalistic human behavior and its neural correlates. Advising a team comprised of undergraduate students and younger graduate students pursuing research.

Kinect for Health
Team Mentor $$ | $$ University of California, San Diego $$ | $$ 2014 - 2016 $$
$$$$ Academic club formed with the shared interest of clinical applications for the Microsoft Kinect sensor. Mentored project team focused on continuous recording framework and data visualization.

Engineering Computation (ECE 15)
Teaching Assistant, Tutor $$ | $$ University of California, San Diego $$ | $$ 2016 $$
$$$$ Led weekly discussion sections and held tutoring hours for C programming in department computer lab.

California State Summer School for Mathematics and Science
Cluster Assistant, Tutor $$ | $$ University of California, San Diego $$ | $$ 2015 $$
$$$$ Supervised cluster of 20 students studying interactions between light and matter. Weekly lectures, designed team project to integrate with core curriculum.

Modern Physics (PHYSICS 25)
Teaching Assistant, Tutor $$ | $$ Stanford University $$ | $$ 2013 $$
$$$$ Facilitated discussion sections, held office hours, and graded homework and exams.

Recognitions & awards

While at UC San Diego:

• 2017 - Institute of Engineering in Medicine Graduate Research Fellowship
• 2017 - ECE Department Graduate Student Service Award
• 2017 - Certificate in Leadership and Teamwork
• 2017 - Honorable Mention, UC Health Hack
• 2016 - Frontiers of Innovation Scholars Program Fellowship
• 2013 - ECE Department Fellowship

University service

ECE Graduate Student Council
Member, Executive $$ | $$ University of California, San Diego $$ | $$ 2013 – 2019
$$$$ Coordinate academic and social events for graduate students, ranging from research seminar series to coffee social hours. Advise current and prospective graduate students interested in Electrical & Computer Engineering. As President (2014-2015), organized and facilitated students-only session during Graduate Program Review. Spoke to incoming graduate student class during orientation, and recruited students during their scheduled visit.

Graduate Student Association
Department Representative $$ | $$ University of California, San Diego $$ | $$ 2013 – 2018
$$$$ Bi-weekly meetings discussing campus-wide issues for graduate students. Represent ECE student interests in academic and social affairs.

Engineering Physics Interdisciplinary Community
Member, Executive $$ | $$ Stanford University $$ | $$ 2010 – 2013
$$$$ Organized mentoring sessions, study nights, and dinner outings for students in the Engineering Physics major. As President (2012-2013), invited professionals in academia and industry to round-table discussions with students about careers and other future opportunities. Represented the Engineering Physics major during student academic events. Hosted annual community event, the EPIC Olympics.

Professional training

Clinical Epilepsy Monitoring, Rady Children's Hospital San Diego
$$$$ Weekly visit to the epilepsy unit for shadowing and research. Training in EEG reading, getting IRB approval for new research, consenting patients to studies, and patient case review. (2015 – 2018)

Summer Short Course, National Center for Adaptive Neurotechnologies
$$$$ 3 week workshop aimed towards young scientists in the fields of medicine, neuroscience, and engineering. Program included lectures on fundamental principles for brain-machine interfaces, hands-on experimental training, and seminars on bringing research to market. (2017)

grAdvantage Leadership & Teamwork Program
$$$$ UC San Diego Extension Specialized Certificate in Leadership and Teamwork. Year-long course on project management and leadership skills required for industry. Included practicum developing and delivering on a project plan. (2016 – 2017)