About Me

I’m an AI Scientist at Covera Health, where I work with a cross-functional team to apply Deep Learning and Natural Language Processing (NLP) to the field of radiology. I’m passionate about how we can train deep learning models to understand the complexities of language.

Previously, I was a Senior Research Scientist in Deep Learning and NLP at Enlitic from 2019 to 2021. A description of my different contributions can be found on my resume.

In 2019, I received an M.S. in Language Technologies at the Language Technologies Institute at Carnegie Mellon University. Advised by Alex Hauptmann, my research focused on the application of DL NLP in the extraction of useful tweets during public safety events.

Prior to my time at CMU, I obtained a “diplôme d’ingénieur” at the Ecole Polytechnique (X) in Palaiseau, France. This diploma combined a B.S-equivalent undergraduate degree with a Masters in Data Science. While at Ecole Polytechnique, I worked with the teams at SRI International in Menlo Park and Pzartech, an Israeli start-up based in Tel-Aviv.

When I’m not working, I like to learn languages, play tennis, music, chess, travel, bake, and wait for the ski season to start!

Publications

Automated Deep Learning Pipeline for Pathology Characterization in MRI MSK Reports
J. Lamare, I. Daga, K. Kannan, D. Torres, J. Pawar, M. Becker, R. Herzog, R. Vianu, A. Das, B. Odry
RSNA 2022 - Scientific presentations

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Automated Structure Detection for Radiology Report Analysis
M. Sandora, J. Lamare, A. Sehanobish, I. Daga, K. Kannan, N. Abraham, M. Becker, R. Herzog, R. Vianu, A. Das, B. Odry
RSNA 2022 - Scientific presentations

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On the diminishing return of labeling clinical reports [Slides]
J. Lamare, T. Olatunji, L. Yao
EMNLP 2020 - Clinical NLP workshop

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Accident forecasting in CCTV traffic camera videos [Code] [Data]
A. Shah, J. Lamare, T. Anh, A. Hauptmann
AVSS 2018 - T4S workshop

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Multimodal filtering of social media for temporal monitoring and event analysis
P. Huang, J. Liang, J. Lamare, A. Hauptman
ICMR 2018

Projects

Useful Public Safety Tweet Extractor - CMU 2017-19

• Developed a DL NLP tweet extractor model to select useful tweets during public safety events
• Created a Django/MySQL interface for the user to view and provide feedback on the outputs

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Art and Machine Learning projects - CMU 2019

• Urban Jungle (Deep Dream & Style Transfer) [Code]
• Rorschach generation (GANs to generate Rorschach ink blots) [Code]
• Kick the drummer out (Automatic drum beat generator) [Code]
• Bloom (Aesthetic visualizations of a neural network's training process) [Code]

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Embodied Question Answering (EQA) - CMU 2018

• Improved the Visual Question Answering (VQA) and navigation metrics on the EQA task
• Worked on deep learning applied to VQA and navigation in a 3D environment in Pytorch

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A Neural Music Critic - CMU 2018 [Code]

• Developed a tool that automatically writes a review from the audio file of a song
• Worked on Music Processing and Conditioned Text Generation with CNNs and LSTMs in Pytorch

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Turning Day into Night - CMU 2018 [Code]

• Developed a tool converting a daylight picture into the same image at night
• Worked on Generative Adversarial Networks in Pytorch

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Fact-Checking application with IBM - X 2017

• Developed a tool determining a statement's veracity by searching through a news database.
• Worked on Text Mining and Natural Language Processing with the IBM Watson.

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Mine-hunting drone - X 2016

• Designed and constructed a mine detection system, embedded on a flying drone.
• Developed the whole data processing part.