My goal is to efficiently help you answer critical questions about data and research, and then clearly communicate those results through excellent writing and data visualization.

My goal is to efficiently and powerfully help you answer critical questions about data and research. My background has given me strong training and broad experience in interpreting research literature, understanding and applying statistical analyses, and confidently amassing and digesting many diverse studies. I have worked as a consultant for a medical startup, MetaMed, where I led teams of researchers in performing comprehensive literature reviews and analysis. I have also worked as a consultant for a documentary about medical decision making, where I analyzed the research literature to provide answers to questions about clinical studies. I have three research publications, two where I was first author, and I have two manuscripts currently under review for publication. Over the past 3 years I have been bringing many tools from data science to my clinical and epidemiological work, including deep neural networks and automated data cleaning and ensembling.

I have a master's of science in Epidemiology and Clinical Research from Stanford, and I am currently in my final year of studies for my MD degree at UC San Diego School of Medicine. I am a part-time researcher at Stanford's METRICS, where I broadly study how scientific research is carried out and how it could be improved.

In addition to my epidemiology and medical training, I have a BS in biochemistry and a BA in physics, magna cum laude. My diverse educational background and experience in both data science and medicine has given me a strong set of skills for efficiently analyzing data and research in a wide variety of fields.