Biography

Josh Rochotte is a Ph.D. student in Information Science at the Rutgers University School of Communication and Information. His research takes a human centered data science approach to investigate personal wellness and interactions with others across digital third places. His current work examines the use of digital trace data as predictors of anxiety, combining advanced machine learning techniques with clincially validated psychological measures. Josh is a member of the Computational Social Science Lab and the Behavioral Informatics Lab, working at the intersection of human behavior and information technology, and is advised by Dr. Vivek K. Singh.

Josh is also a Product Manager at Medidata Solutions, providing comprehensive data and risk surveillance tools to data managers and operational teams in clinical trials. He has spent his professional career working to design and support data capture and analysis systems for use in clinical research.

Download my resumé or my CV.

Interests
  • Behavioral Informatics
  • Human Centered Data Science
  • Computational Social Science
  • Persuasive Design
  • Digital Therapeutics
  • Homophily & Heterophily
  • Gamification
  • Product Management
  • AI & Machine Learning
Education
  • PhD, Information Science, Expected 2027

    Rutgers University

  • MI, Data Science, 2018

    Rutgers University

  • BA, Information Technology and Informatics, 2017

    Rutgers University

  • BA, Psychology, 2017

    Rutgers University

Academic Experience

 
 
 
 
 
Behavioral Informatics Lab @ Rutgers, The State University of New Jersey
Graduate Research Assistant
Behavioral Informatics Lab @ Rutgers, The State University of New Jersey
Sep 2022 – Present New Jersey
Running Lab Social Media, outreach activities and engagements.
Active research projects include Depression Detection using Log Data, Personal Device Reminders for Anxiety Management, and ACTing out in the Metaverse.
 
 
 
 
 
Rutgers, The State University of New Jersey
Instructional Assistant
Rutgers, The State University of New Jersey
Sep 2023 – Present New Jersey
Instructional Assistant providing in class support, grading and office hours for the following courses:
Management of Technological Organizations: Spring 2024 semester
Fundamentals of Data Curation and Management: Spring 2024 semester
Fundamentals of Data Curation and Management: Fall 2023 semester
 
 
 
 
 
Honors College @ Rutgers, The State University of New Jersey
Honors College Graduate Mentor
Honors College @ Rutgers, The State University of New Jersey
Sep 2023 – Present New Jersey
Honors College Graduate Mentors provide mentorship within their academic area of expertise regarding topics such as writing personal statements for graduate school applications, how to get involved in research, coaching on presenting academic research, and more. Graduate Mentors are available through office hours as well as signature events, giving Honors College undergraduates a rich resource and support network within their academic disciplines.
 
 
 
 
 
Computational Social Science Lab @ Rutgers, The State University of New Jersey
Graduate Research Assistant
Computational Social Science Lab @ Rutgers, The State University of New Jersey
Sep 2023 – Jan 2024 New Jersey
Responsibilities include organization, recruitment, running and organizing events, maintaining social media presence for the lab and collaborating on research projects
 
 
 
 
 
Rutgers, The State University of New Jersey
Teaching Assistant
Rutgers, The State University of New Jersey
Jan 2018 – May 2018 New Jersey
Course TA for Retrieving and Evaluating Information 04:547:220
 
 
 
 
 
Rutgers, The State University of New Jersey
Research Assistant
Rutgers, The State University of New Jersey
Jan 2017 – May 2018 New Jersey
Researcher studying Digital Homophily in Competitive Scenarios in Dr Vivek Singh’s Behavioral Informatics Lab
 
 
 
 
 
Rutgers, The State University of New Jersey
Teaching Assistant
Rutgers, The State University of New Jersey
Jan 2017 – Dec 2017 New Jersey
Course TA for Information: Policies, Politics, and Power 04:547:400
Course TA for 3 sections of Object Oriented Programming 04:547:202
 
 
 
 
 
Rutgers, The State University of New Jersey
Coadjutant Casual
Rutgers, The State University of New Jersey
May 2016 – Aug 2016 New Jersey
Document Coder for EPIK Research Project under Dr Weber and Dr Yanovitzky

Awards

Tefko Endowed Fund for Doctoral Students
3DS Innovation Forwards 2022
Tefko Endowed Fund for Doctoral Students
Ph.D. Program in LIS Award
Passionate Encore Award
Passionate Encore Award

Memberships

Association for Information Science and Technology (ASIS&T)
Association of Computing Machinery (ACM)
Institute of Electrical and Electronics Engineers (IEEE)
Out In Tech
New York Academy of Sciences
Rutgers School of Communication & Information Alumni Association
Scrum Alliance
Beta Phi MU, Omicron Chapter
PhUSE
Project Management Institute

Professional Experience

 
 
 
 
 
Medidata Solutions
Product Manager II
Medidata Solutions
Apr 2022 – Present New York
Drives long term, detailed roadmaps and authors product requirements documents (PRDs) for clinical data management and data science applications. Support product owners and remote teams across east and west coast US, as well as in India.
 
 
 
 
 
Medidata Solutions
Product Manager, Digital Oversight
Medidata Solutions
Mar 2021 – Apr 2022 New York
Promoted within 12 months because of top performance and strong organizational impact, I support product owners and teams across east and west coast US, as well as in India. I lead and drive a platform of AI/ML driven data and risk surveillance technology products used by clinical trial teams to monitor clinical trials.
Select Highlights
▻ Overhauled product strategy by delivering an effective presentation of strategic goals to engineering and product organization that advanced swift breakdown and restored backlogs for engineering teams.
▻ Recommended alternative methods of system configuration to avoid need for high level of effort (LOE) engineering enhancements to legacy software system, shielding our customer from increased engineering costs.
▻ Worked closely with development team in an Agile SCRUM environment to refine, prioritize and support the development, testing, and release of functionality.
 
 
 
 
 
Medidata Solutions
Product Owner
Medidata Solutions
Mar 2020 – Mar 2021 New York
As product owner, I streamlined the execution of program priorities while maintaining conceptual and technical integrity of features for 3 global engineering teams with accountability for data review, derived analysis, and microservice analytics solutions. By providing value add features for engineering teams, I upheld product strategy and drove business direction. I partnered with product owners, program managers, developers, testers, and business stakeholders to define features and technical user stories.
Select Highlights
▻ Prompted +65% improvement in system analysis time by evaluating architecture and developing updated solution.
▻ Delivered brand new, complex feature with no prior industry experience by organizing and engaging a global team to great performance.
▻ Received Passionate Encore Award for exemplified focus on company ideals.
 
 
 
 
 
Medidata Solutions
Implementation Consultant
Medidata Solutions
Jan 2019 – Mar 2020 New York
In my initial role with Medidata Solutions, I ensured software applications were implemented and configured per company standard business processes, met client requirements, and adhered to good clinical data management practices. I advised customers as well as staff regarding best practices for the implementation of clinical cloud software. Further, I served customers across US and Europe during user acceptance testing cycles by resolving issues, answering questions, and guiding them through the process.
Select Highlights
▻ Led key client engagements by becoming an IC expert on drug supply, risk management and electronic data capture.
▻ Guided 10 coworkers to obtain architect and design licenses within 6 months with a pass rate of +90%.
▻ Gained experience configuring complex multi-arm and adaptive trial designs.
 
 
 
 
 
Medidata Solutions
Associate Implementation Consultant
Medidata Solutions
Dec 2017 – Jan 2019 New York
I advised clients and internal staff on best practices for implementing Medidata’s software platform, while also building on our platform’s offerings for clients. Specialized in oncology study design and optimization of study architecture across the research markets. I actively translated customer needs into system functionality across a variety of our proprietary platform offerings, including Rave, RTSM and Strategic Monitoring. I helped to resolve issues in implementation and ensure an easy go live for clinical and pharmaceutical research companies, while abiding by Medidata SOP’s and CDISC/CDASH/SDTM Standards. I am also a member of the welcome team, where I help onboard new employees and make them feel welcome at Medidata.

Recent Publications

(2024). Predicting Anxiety Using Google and YouTube Digital Traces. Emerging Trends in Drugs, Addictions, and Health(Special Issue: Social Media Trends and offline Behavioral correlates).

DOI

(2023). Can You Afford To Go The Road Alone? Autonomy And Choice In The Lands Between. The Psychology of Elden Ring.

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