Walnut Creek, California, USA
Graph Convolutional Neural Network & Poincare Embeddings
University of California Berkeley
Bachelor of Arts in Physics
PREVIOUS WORK EXPERIENCE
Software Engineer Intern
Joint Genome Institute
San Francisco Department of Health
Public Service Aide
Cross-Media Integration, Deep Learning and Highly Interpretable Models
Dartmouth Graduate Student Council QBS Representative
QBS 108: Applied Machine Learning
"I'm interested in developing cutting-edge deep learning models that make strong biomedical predictions for molecular, histopathological, textual, and imagery data. Also, I'm looking to generate simple explanations for these complex predictions, so that members of the medical community will be quick to trust and adopt these models."
RESEARCHER I ADMIRE
(The theory about the Dirac Sea tying quantum mechanics, special relativity, magnetism, and anti-matter together is mind-bending)
FAVORITE RESEARCH PAPER
(I couldn't decide, so here are my two favorite NIPS papers)
"I appreciate that QBS is highly collaborative and multidisciplinary program. Something that is really important to me is being able to combine ideas from multiple fields to solve a complex problem. I think the mental heuristics acquired from studying one domain, such as my original field of study, Physics, can be used to quickly solve complex problems in another domain, such as understanding the complexities of high dimensional data. The biomedical field is filled with many of these problems, and in need of someone who is not afraid to incorporate ideas or work with others from multiple fields of study to solve intractable problems."
FAVORITE QBS CLASS
QBS 100: Molecular Basis of Human Health & Disease
Life @ Dartmouth
WHEN I AM NOT IN LAB
"I'm outdoors, soaking in the sunlight (when it's not Winter), hiking with friends, working out at the gym, starring and contributing to the open-source GitHub community or enjoying some gelato after a hard day's work."