Joshua Cohen
PhD in Physics Applies Scientific Expertise to Develop ML Models for Diverse Applications
Research Expertise
About
Publications
A Feasibility Study Using a Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in Adolescent Therapy Sessions
International Journal of Environmental Research and Public Health / Nov 05, 2020
Cohen, J., Wright-Berryman, J., Rohlfs, L., Wright, D., Campbell, M., Gingrich, D., Santel, D., & Pestian, J. (2020). A Feasibility Study Using a Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in Adolescent Therapy Sessions. International Journal of Environmental Research and Public Health, 17(21), 8187. https://doi.org/10.3390/ijerph17218187
Integration and Validation of a Natural Language Processing Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in the Emergency Department
Frontiers in Digital Health / Feb 02, 2022
Cohen, J., Wright-Berryman, J., Rohlfs, L., Trocinski, D., Daniel, L., & Klatt, T. W. (2022). Integration and Validation of a Natural Language Processing Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in the Emergency Department. Frontiers in Digital Health, 4. https://doi.org/10.3389/fdgth.2022.818705
CO adsorption on nanoislands: Ni on Au(111)
The Journal of Chemical Physics / Jun 14, 2018
Cohen, J. I., & Tobin, R. G. (2018). CO adsorption on nanoislands: Ni on Au(111). The Journal of Chemical Physics, 148(22), 224702. https://doi.org/10.1063/1.5030862
Effects of ordered islands on surface resistivity: Ni on Au(111)
The Journal of Chemical Physics / Apr 14, 2017
Cohen, J. I., & Tobin, R. G. (2017). Effects of ordered islands on surface resistivity: Ni on Au(111). The Journal of Chemical Physics, 146(14), 144703. https://doi.org/10.1063/1.4979846
Education
Tufts University
Ph.D., Physics / July, 2018
Experience
Clarigent Health
Chief Scientific Officer / January, 2022 — Present
•Leads team's scientific and technical efforts for company focused on identifying mental health risks from speech data •Direct clinical mental health data collection for machine learning model development, validation, and utility assessment •Heads communication of scientific achievements through peer-reviewed publications and conference presentations
Director of Data Science / September, 2020 — January, 2022
•Invented novel quantitative methods to drive product changes and improve end-to-end customer experience (e.g., automatic speaker identification, transcript quality assessments, and on-topic speech detection) •Developed customer facing dashboard and data model in Microsoft PowerBI to communicate sensitive patient data •Published 2 first author articles validating machine learning models and presented findings at international conference •Principal Investigator for Phase I NIH SBIR grant investigating and mitigating machine learning model bias •Oversaw interviewing, onboarding, training, and daily tasks of 5 data scientists
Senior Data Scientist / September, 2019 — September, 2020
Developed and deployed ML models in Python to identify suicidal risk, depression, and anxiety from speech data •Experimented with various ML approaches (e.g., SVM, RF, and ANN) to improve model performance •Utilized advanced NLP (e.g., word embeddings and sentiment analysis) to extract meaningful features and improve accuracy •Designed and implemented ETL pipelines to efficiently extract, transform, and load large volumes of speech data
Freelance
Data Scientist / January, 2019 — September, 2019
Developed models to predict mouse sleep states (sleep, REM, wake) from brain and muscle signals with 96% accuracy
UES at Air Force Research Labs
Research Scientist / August, 2018 — September, 2019
•Lead R&D program for medical countermeasures of directed energy in 711th HPW/Force Health Protection Branch •Principal Investigator: Feasibility of Deployed Medical System Hardening to Directed Energy, In-Vitro Cellular Response to Directed Energy, Rapid Environmental Site Assessment with Readily Available Biomaterials •Characterized emissions from ammunition causing health issues with microscopic, spectroscopic, and statistical analysis
Tufts University
Research Assistant / July, 2014 — July, 2018
Designed and executed original surface science experiments to probe fundamental features of nanoscale materials •Performed statistical analysis on data sets and developed complex models using Mathematica and MS Excel •Published 2 first author articles and presented findings at international conference
Links & Social Media
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