View my Resumé

Some of my recent accomplishments:

H1.

April 2018 - Present

h1insights.com

H1. is a platform that enables pharmaceutical companies quicker and cheaper access to key medical expert identification and analysis via 750K clinicians and physicians, 50M publications, and 250K clinical trials. Historically, this process has been slow, expensive, lacking information / quality, and nearly always results in data that is out of date as soon as it's delivered. H1. addresses these problems by providing information and analysis through a slick user interface at a fraction of the cost.

Typescript
Node
React
Elasticsearch
Postgres
Docker


Scholarly Disambiguation

June 2017 - April 2018

Scholarly Disambiguation enables the data backbone of medical expert profiles on H1. In order to create comprehensive expert profiles, we needed to know every individual's publications authored, clincial trials led, open payments received, etc. There are publicly available sources that help, but there is no single source of truth for all the information we were after. We built a supervised machine learning pipeline and achieved a remarkably high degree of accuracy.

Scala
Spark
Python


Labspot

June 2016 - June 2017

labspot.io

Labspot is a learning management system designed specifically for the needs of Medical Schools' scholarly projects curricula. Historically, collaboration between students and their faculty mentors went untracked, assignments were submitted via email and subject to slow feedback times, and a student taking a leave of absense would create chaos as disconnected spreadsheets had to be painstakingly updated. Labspot aimed to streamline these workflows to allow administrators and students to be more informed, and more organized, with less headaches.

PHP
MySQL
Javascript
jQuery


Gojuki

February - April, 2017

Gojuki is a project I made for fun. It's a fast paced multiplayer game, similar in concept to 'Hungry Hungry Hippos'. You play with up to 3 other people on your local network, controlling your bug trying to capture the most food.

Javascript
Socket.io
HTML Canvas