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About

I'm a Stanford University PhD student in the Artificial Intelligence Lab of Computer Science, advised by Sebastian Thrun. My research focus is in deep learning and computer vision, and my preferred application domain is healthcare. My work spans dermatology, drug screening, neuroscience, and psychiatry. I have interned at Google, Sandia National Labs, and GE Healthcare.

At UT-Austin, I double majored in Electrical & Computer Engineering, and Pure Mathematics. My research at the time was in metamaterials and invisibility cloaking as part of Andrea Alu's Metamaterials and Plasmonics Research Lab . Hook 'em horns.


Publications

In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
Eric Christiansen*, Samuel Yang, Dale Ando#, Ashkan Javaherian#, Gaia Skibinski#, Scott Lipnick,#, Elliot Mount, Alison O’Neil, Kevan Shah, Alicia K. Lee, Piyush Goyal, Liam Fedus, Ryan Poplin, Andre Esteva, Lee Rubin, Philip Nelson*, Steven Finkbeiner*
#These authors made comparable contributions
These authors made comparable contributions
Dermatologist-level Classification of Skin Cancer with Deep Neural Networks
Andre Esteva*, Brett Kuprel*, Rob Novoa, Justin Ko, Susan M. Swetter, Helen Blau, Sebastian Thrun
*equal contribution authors
Nature Letter
Nature News and Views
Nature Video (YouTube)
Nature Reviews Cancer
PDF
Article Metrics (235 news articles and blog posts, 4th most read Nature paper of a similar age)
Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning
Yunzhu Li*, Andre Esteva*, Brett Kuprel, Rob Novoa, Justin Ko, Sebastian Thrun
*equal contribution authors
Vision-Based Classification of Developmental Disorders using Eye Movements
Guido Pusiol, Andre Esteva, Scott Hall, Michael Frank, Arnold Milstein, Li Fei-Fei

Visual Scenes are Categorized by Function
Michelle Greene, Christopher Baldassano, Andre Esteva, Diane M. Beck, Li Fei-Fei

Two Distinct Scene Processing Networks Connecting Vision and Memory
Christopher Baldassano, Andre Esteva, Diane M. Beck, Li Fei-Fei

On the Technology Prospects and Investment Opportunities for Scalable Neuroscience
Thomas Dean, Biafra Ahanonu, Mainak Chowdhury, Anjali Datta, Andre Esteva, Daniel Eth, Nobie Redmon, Oleg Rumyantsev, Ysis Tarter

Metamaterial Structural Design, Undergraduate Thesis
Andre Esteva, Dean Neikirk, Andrea Alu

Invited Talks


Videos


Experience

Intern, Google Research / Google[x]
Accelerated Science Team
Deep Learning applied to image-to-image regression for large-scale drug screening
Accel Ventures Innovation Scholar
Startup Consultant, Entrepreneur-in-Training
Hosted by Accel Partners
Led by the Stanford Technology Ventures Program
Intern, Sandia National Laboratories
Computational Nuclear Fusion
Computational Metamaterials for Invisibility Cloaking
Intern, GE Healthcare
X-ray Imaging Team
UI Design for X-ray data analysis