VARUN SHENOY varunshenoy.comvnshenoy@stanford.edulinkedin.com/in/varunshenoy/STANFORD UNIVERSITY

B.S. MATH + COMPUTER SCIENCE

EXPERIENCE

PUBLICATIONS

SELECT PROJECTS

COURSEWORK

UC Berkeley Artificial Intelligence Research (BAIR) ‣ Research InternJune 2018 - July 2018

Stanford Department of Radiology ‣ Research ConsultantAug 2018 - Sept 2019Collaborated with Dr. Bao Do at Stanford Radiology to develop a web tool for automating bone radiology tasks utilizing deep learning and computer vision. Co-author on resulting manuscripts.

CS 107E Computer Systems from the Ground Up

CS 106B Programming Abstractions

MATH 115 Undergraduate Real Analysis

MATH 51/52/53 Linear Algebra, Vector Calculus, and Differential Equations

PHYSICS 61/63 Mechanics, Special Relativity, Electricity, Magnetism, and Waves

SELECT HONORS

MEDIA COVERAGE

North American Regional Finalist, Google Science Fair (2019)

Cutler-Bell Prize for Excellence in High School Computing, Association for Computer Machinery (2019)

WWDC Student Scholarship, Apple Inc. (2016, 2017, 2018)

Recognized as a Young Innovator to Watch, Consumer Electronics Show (2018)

Top 10 Abstracts and Plenary Session Presentation, Surgical Infection Society (2018)

Eagle Scout and Silver Palm, Troop 407 from Cupertino, CA

NowThis Newstinyurl.com/varunnowthis

Mashabletinyurl.com/varunmashable

Cult of Machttps://tinyurl.com/varuncultofmac

Shenoy VN, Foster E, Aalami L, Majeed B, Aalami O. Deepwound: Automated Postoperative Wound Assessment and Surgical Site Surveillance through Convolutional Neural Networks. In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2018 Dec 3 (pp. 1017-1021). IEEE.

Gholami A, Subramanian S, Shenoy V, Himthani N, Yue X, Zhao S, Jin P, Biros G, Keutzer K. A novel domain adaptation framework for medical image segmentation. In International MICCAI Brainlesion Workshop 2018 Sep 16 (pp. 289-298). Springer, Cham.

Designed multiple deep neural networks for brain tumor segmentation in multimodal MRI scans alongside Prof. Kurt Keutzer’s research team. Developed a variety of different 2D segmentation algorithms to evaluate axial brain slices one at a time, including CycleGAN generated data.

U.S. Department of Veterans Affairs, Palo Alto ‣ Data ScientistJune 2017 - Aug 2018Lead data analyst and author on several projects with Dr. Oliver Aalami. Created Biosnap, a mobile app to assist the elderly with documenting biometrics in 2017. Spent next year and a half developing Theia, a patent-pending app and deep learning algorithm to assist physicians with assessing postoperative wounds.

App Store ‣ DeveloperJune 2015 - PresentBuilding mobile applications for the Apple App Store to solve a wide variety of problems, from summarizing the news to helping high school students with chemistry. Over 20,000 downloards worldwide. Apps have trended on the front page and top 100 lists curated by Apple.

TheiaTheia is a deep learning based system for automated postoperative wound assessment with a convolutional neural network based backend and iOS mobile app. The computational model behind it is patented and published.

SummitSummit helps busy people read the news in a matter of seconds by summarizing the news. It has over 13,000 downloads. Summit, trended on the App Store, reaching the top 100 free news apps in over 20 Countries, including the US, UK, Australia, Canada, Portugal, and more. Apple also added it to their “New Apps We Love” list for a while in June 2016.

BiosnapBiosnap enables you to capture medical monitor data with a picture and store it automatically in your Health app swiftly without the usage of the mobile keyboard. With Biosnap, there's no reason to buy an expensive internet-connected medical monitor or maintain a log of measured biomarkers.

varunshenoy.com/summit/

Shenoy VN, Aalami OO. Utilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition. In AMIA Annual Symposium Proceedings 2017 (Vol. 2017, p. 1564). American Medical Informatics Association.

varunshenoy.com/theia

varunshenoy.com/biosnap