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Ph.D. Candidate
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Northeastern University
Doctor of Philosophy - PhD, Computer Science
January 1, 2019 – January 1, 2026
Vassar College
Mathematics; Physics
N/A – Present
Sentenai
Machine Learning Engineer
August 1, 2016 – May 1, 2019
Greater Boston
Bina Technologies
Software Engineer
June 1, 2014 – July 1, 2016
Belmont, California
Keychain Logistics
Consultant Data Engineer
March 1, 2014 – May 1, 2014
San Francisco Bay Area
Hack Reactor
Full stack Mentor
February 1, 2014 – May 1, 2014
San Francisco Bay Area
seedchange
Consulting Software Engineer
November 1, 2013 – January 1, 2014
San Fransisco, CA
TurboSquid
Data Scientist in Credit Fraud
August 1, 2012 – September 1, 2013
Greater New Orleans Region
Venture For America
Venture for America 2012 Fellow
June 1, 2012 – July 1, 2013
Greater New Orleans Region
Physics Department, Vassar College
Physics Department Academic Intern
September 1, 2011 – August 1, 2012
Poughkeepsie, New York
SWIFT
Securities Analyst Intern
June 1, 2011 – August 1, 2011
Manhattan, New York
Kansas State University, Physics REU
Condensed Matter Physics Researcher
May 1, 2010 – August 1, 2010
Manhattan, Kansas
CSSR — Causal State Splitting Reconstruction
August 1, 2015 – Present
Active maintainer of CSSR, working in close collaboration with the original authors: Cosma Shalizi and Kristina Klinkner. CSSR is an algorithm for building recursive hidden Markov models from discrete-valued time series, and other discrete sequential data. Unlike conventional hidden-Markov algorithms, which tune the parameters in a fixed architecture, CSSR is capable of inferring the appropriate architecture as well. In fact, under certain conditions, CSSR will converge on the optimal model of the underlying data-generating process.
DemandCube's Neverwinter Data Pipeline
May 1, 2014 – Present
Active contributor to DemandCube's open source data pipe line. I work primarily on KafkaSphere: a RESTful Sparkjava server, with a client-side angular and d3 monitor to visualize the real-time data going through the Kafka pipe.
Satellite
January 1, 2014 – Present
Satellite is a real-time online multiplayer space shooter game for the Oculus Rift running entirely in browser powered by WebGL with Three.js. Playable with or without Oculus Rift alongside keyboard, gamepad or flight stick. Uses custom Three.js renderer for stereoscopic 3D visuals in Oculus Rift or other head mounted displays.
BrowserStats
December 1, 2013 – Present
A research aid to help organize content as you navigate the web. - Written with service-oriented architecture in mind using a chrome extension, background web crawler, and companion webapp. - Used the Chrome API, browser actions and Browser Actions to package a Chrome application. - Parsed and crawled website content with the Natural library for natural language processing. - Visualized categorization of the parsed content by writing a dendrogram in d3.
Cultural Fit Analysis
The candidate's background includes a mix of academic research, startup experience (Sentenai, Bina Technologies, seedchange), and consulting roles. This diversity suggests an ability to thrive in various environments, from structured research to agile startup settings. The open-source contributions and personal projects indicate a strong passion for technology and continuous learning, which generally aligns well with innovative company cultures. However, the target role is 'Data Analyst' while the experience leans heavily towards 'Machine Learning Engineer' and 'Software Engineer', which might indicate a slight mismatch in day-to-day responsibilities unless the Data Analyst role has a strong ML/engineering component.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and collaborative approach (e.g., 'Active contributor', 'working in close collaboration'). Experience as a 'Full stack Mentor' suggests strong communication and teaching abilities. The diverse project portfolio implies adaptability and a willingness to tackle complex problems.