ABOUT

I'm a recent graduate of Brown University with a Master's in Computer Science. My passion is developing AI products to empower people. I bring experience in deep learning, NLP, and computer vision, and industry experience as a full-stack developer.

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PUBLICATIONS

 

2020

OPENGPT-2: OPEN LANGUAGE MODELS AND IMPLICATIONS OF GENERATED TEXT

Vanya Cohen* and Aaron Gokaslan*. XRDS: Crossroads, The ACM Magazine for Students. Fall 2020 | Volume 27, No. 1.

Feature article that details the creation of OpenGPT-2 and the implications of large language models on research and society for a non-machine learning audience.

2019

GROUNDING LANGUAGE ATTRIBUTES TO OBJECTS USING BAYESIAN EIGENOBJECTS

Vanya Cohen*, Benjamin Burchfiel*, Thao Nguyen*, Nakul Gopalan, Stefanie Tellex, George Konidaris. IROS 2019.

Cohen et al. (2019) describes a model enabling robots to recognize household objects based on natural language descriptions. Notably the model generalizes to partially observed objects and novel viewpoints. 

2019

OPENGPT-2: REPLICATING OPENAI’S BILLION-PARAMETER LANGUAGE MODEL

Aaron Gokaslan*, Vanya Cohen*, Ellie Pavlick, Stefanie Tellex. NeurIPS 2019: NewInML Workshop

Gokaslan and Cohen et al. (2019) describes the replication and release of open-source versions of the GPT-2 (Radford et al. 2019) language model and dataset, in a Google-sponsored project using peta-flop scale distributed training.

EXPERIENCE

 

BLACKBIRD.AI – MACHINE LEARNING ENGINEER

June 2020 - Present

  • Created machine learning solutions for tracking online disinformation and propaganda for government, corporate and NGO clients.

  • Created novel datasets and models for the analysis of coordinated malicious social content.

  • Consultant January-April 2019: Developed robust algorithms for language identification and open information

LUMINOSO TECHNOLOGIES – MACHINE LEARNING ENGINEER

  • Developed and deployed new algorithms for learning word representations in limited-data domains through transfer learning. 

  • Created new features for ConceptNet, an MIT Media Lab common sense knowledge base corpus.

September 2019 - June 2020

BROWN U. ROBOTICS LAB – RESEARCH ASSISTANT

September 2017 - October 2019

  • First-authored papers, co-created OpenWebText Corpus, and advised on NLP models for lab publications and projects.

  • Mentored new students in deep learning, NLP, Mechanical Turk studies, and research methods.

UCLA/BROWN UNIVERSITY – RESEARCH ENGINEER

  • Created AWS applications for collecting and parsing millions of financial disclosure documents from governments and companies for the National Bureau of Economic Research.

December 2017 - November 2018

TRIPADVISOR – SOFTWARE ENGINEERING INTERN

  • Wrote performance oriented search features for the iOS maps and in-destination team.

  • Implemented a high-impact redesign of location-specific travel guides.

  • Finalist at the summer intern hackathon.

June 2016 - August 2016

EDUCATION

 

BROWN UNIVERSITY – MSC. COMPUTER SCIENCE

September 2017 - May 2018

Graduate coursework in Deep Learning, Reinforcement Learning, NLP, Theory of AI, and Computer Vision.

BROWN UNIVERSITY – BSC. COMPUTER SCIENCE

September 2013 - May 2017

Coursework in Systems, Embedded Software, Distributed Systems, Computer Graphics, Computer Vision, NLP, AI, Advanced Calculus, Linear Algebra, Theory of Computation, and Statistics.

SKILLS

LANGUAGES

Java, C#, Python, JavaScript, Swift, Objective-C, GLSL, C++, C, SQL, Lua, Scala

PLATFORMS

iOS, Linux, Windows, ROS, Arduino, AWS (EC2, S3, Lambda, SNS, SQS, RDS), Google Cloud Platform, Tensorflow Research Cloud

TECHNOLOGIES

Pytorch, Tensorflow, CUDA, OpenGL, Matlab

 

CONTACT

vanya_cohen (at) alumni.brown.edu

 

©2020 by Vanya Cohen.