
Javier Barreiro (2022 – present)
- MS in Bioinformatics and Biological Data Science, Temple University
- MS in Computer Science and Operations Research
- BS in Computer Engineering and one in Industrial Engineering
- Adjunct Professor, Universidad de Los Andes
- Chief software architect, Orbital Insight
- Computer Scientist in AI research and the technical leader for EUROPA, NASA

Minjoon Joo (2022 – present)
- Undergraduate researcher
- Computer Science at Temple University (Class of 2025)
- Research interests: Machine learning, Deep learning, Spatial transcriptome analysis, Melanoma

Timothy Khumpan (2022 – present)
- Undergraduate researcher
- Computer Science at Temple University (Class of 2025)
- Research interests: Machine learning, Deep learning, Neuroendocrine tumor (NET)

Tanisha Gupta (2022 – present)
- Volunteer Research Assistant
- Stanford Online High School, Redwood City, CA
- Research interests: Machine learning, Renal cell carcinoma, and Aging
- Co-founder of Hydrovolt
- Skills: Python/R/Java/Linux

Jason Lin (2022 – present)
- Volunteer Research Assistant
- Evergreen Valley High School, San Jose, CA
- Research interests: Multiomics Deep Learning, Alzheimer’s disease, and aging
- Lin J, Lee H, Snyder M. Deep Neural Network Classifier for Alzheimer’s Disease. Journal of Student Research. 2022. Available from: http://dx.doi.org/10.47611/jsrhs.v11i3.3553

Aarav Sharma (2022 – present)
- Volunteer Research Assistant
- Archbishop Mitty High School, San Jose, CA
- Research interests: Machine learning, Autism
- Sharma A, Nguyen TA. Diagnosing Breast Cancer Using a Novel Dual-Layered Random Forest with Null Handling. 2022. Available from: http://dx.doi.org/10.47611/jsrhs.v11i3.3273
- Synopsys 2020 (Alameda County Science & Engineering Fair) – FIRST PLACE in Energy, Environmental, and Earth Sciences.

Emmett Griffin-Baldwin (2021 – present)
- Stanford Summer Research Program – Amgen Scholars, Computational
- Biochemistry & Psychology, Southwestern University, Georgetown, TX
- Research interests: Aging and methylation, algorithms development in epi-phasing

Gilbert Feng (2017-2018)
- High School Summer Research Intern (2017 – 2018)
- Electrical Engineering and Computer Sciences, UC Berkeley (2019-)
- Research interest: Machine learning, Lung cancer prognostic omics biomarker
- Paper: Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Multiomics Data Integration and Ensemble Learning