Work with thought leaders and academic experts in computer science

Companies can benefit from working with computer science researchers in various ways. These experts can provide valuable insights and expertise to solve complex problems, develop innovative solutions, and stay ahead of the competition. They can help companies optimize their processes, improve efficiency, and reduce costs through the application of advanced algorithms and data analysis. Computer science researchers can also assist in developing cutting-edge technologies, such as artificial intelligence and machine learning, to enhance products and services. Additionally, collaborating with academic researchers can lead to valuable partnerships, access to funding opportunities, and the ability to attract top talent.

Researchers on NotedSource with backgrounds in computer science include Christos Makridis, Govind Mohan, Dr. Carolyn Chen, Joshua Cohen, Ingrid Ramon Parra, Yongyeon Cho, Kostadin Kushlev, Elle Wang, Edoardo Airoldi, Ryan Howell, Ben Bartlett, and Thomas O'Neill.

Christos Makridis

Nashville, TN
10 Years Experience
Web3 and Labor Economist in Academia, Entrepreneurship, and Policy
Education

Stanford University

Dual Ph.D., Economics and Management Science & Engineering / June, 2018

Stanford, California, United States of America

Arizona State University

B.S., Economics and Mathematics / May, 2012

Tempe, Arizona, United States of America
Experience

Stanford University

Digital Fellow / August, 2020 — Present

Department of Veterans Affairs

Senior Adviser, National AI Institute / January, 2020 — Present

Columbia Business School

Adjunct Associate Research Scholar / February, 2022 — Present

Research Expertise (16)
Finance
Economics and Econometrics
Accounting
Pharmacology (medical)
Law
And 11 more
About
Christos A. Makridis holds academic appointments at Columbia Business School, Stanford University, Baylor University, University of Nicosia, and Arizona State University. He is also an adjunct scholar at the Manhattan Institute, senior adviser at Gallup, and senior adviser at the National AI Institute in the Department of Veterans Affairs. Christos is the CEO/co-founder of [Dainamic](https://www.dainamic.ai/), a technology startup working to democratize the use and application of data science and AI techniques for small and mid sized organizations, and CTO/co-founder of [Living Opera](https://www.livingopera.org/), a web3 startup working to bridge classical music and blockchain technologies. Christos previously served on the White House Council of Economic Advisers managing the cybersecurity, technology, and space activities, as a Non-resident Fellow at the Cyber Security Project in the Harvard Kennedy School of Government, as a Digital Fellow at the Initiative at the Digital Economy in the MIT Sloan School of Management, a a Non-resident Research Scientist at Datacamp, and as a Visiting Fellow at the Foundation for Defense of Democracies. Christos’ primary academic research focuses on labor economics, the digital economy, and personal finance and well-being. He has published over 70 peer-reviewed research papers in academic journals and over 170 news articles in the press. Christos earned a Bachelor’s in Economics and Minor in Mathematics at Arizona State University, as well a dual Masters and PhDs in Economics and Management Science & Engineering at Stanford University.

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Govind Mohan

Toronto, Ontario, Canada
7 Years Experience
Blockchain developer and P2P researcher
Education

University of Toronto

B.A., Computer Science / November, 2019

Toronto, Ontario, Canada
Experience

Virgil Systems

Lead Developer / January, 2019 — February, 2022

Oproma, Inc

Senior Developer / September, 2022 — January, 2023

Supercluster Labs

CTO / January, 2023 — Present

Research Expertise (0)
About
I am a blockchain developer and researcher who has been in the space since 2014. I was part of private sector research into the viability of content-addressable networks in highly adversarial conditions, which was demonstrated for government defense applications. I have participated in several hackathons, notably creating a top 10 hack at Protocol Labs' HackFS 2020, 2022. I was also an advisor to Legal Hackers at University of Toronto Law. I am currently building tools for Decentralized Autonomous Organizations at Supercluster Labs. I am a passionate believer in data privacy and a free and fair internet. I have several research interests, of which I am currently exploring peer-to-peer networking and offline-first computing.

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Dr. Carolyn Chen

Berkeley, California, United States of America
28 Years Experience
Scholar of Work, Silicon Valley, Religion, and Race
Education

UC Berkeley

Ph.D., Sociology

Berkeley, California, United States of America
Experience

UC Berkeley

Associate Professor of Ethnic Studies / 2015 — Present

Co-Director, Berkeley Center for the Study of Religion / 2021 — Present

Asian Pacific American Religions Research Initiative

Executive Director / 2022 — Present

Northwestern University

Associate Professor / 2009 — 2015

Director of Asian American Studies / 2011 — 2013

Assistant Professor / 2003 — 2009

Research Expertise (0)
About
My research focuses on work, religion, spirituality, and race in the United States. I've conducted research on tech work culture, religious congregations, and immigrant communities. I've published three books: *Work Pray Code: When Work Becomes Religion in Silicon Valley* (Princeton 2022), *Getting Saved in America: Taiwanese Immigration and Religious Experience* (Princeton 2008) and *Sustaining Faith Traditions: Religion, Race and Ethnicity among the Latino and Asian American Second Generation* (NYU 2012). My writing has appeared in popular publications such as the *New York Times*, *Los Angeles Times*, and *The Atlantic*. And my work has been featured in media outlets such as the National Public Radio and CNN. I am the Co-Director of the UC Berkeley Center for the Study of Religion, and Executive Director of the Asian Pacific American Religions Research Initiative (APARRI), a scholarly community committed to the advancement of public knowledge of Asian Pacific American religions.

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Joshua Cohen

Cincinnati, Ohio, United States of America
9 Years Experience
PhD in Physics Applies Scientific Expertise to Develop ML Models for Diverse Applications
Education

Tufts University

Ph.D., Physics / July, 2018

Medford, Massachusetts, United States of America
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

Research Expertise (2)
Public Health, Environmental and Occupational Health
Physical and Theoretical Chemistry
About
I am a highly motivated individual with expertise in various artificial intelligence (AI) tools, including machine learning (ML) and natural language processing (NLP). Over the course of my academic and professional career, I have developed a strong skill set in these areas, and have applied them to various domains, including mental health. At Clarigent Health, I have played a key role in developing and improving machine learning models that analyze patient speech to identify mental health concerns such as depression, anxiety, and suicide risk. In addition, I have been the principal investigator on a NIMH SBIR grant investigating machine learning model performance across different patient characteristics and settings. Moreover, I have experience in developing and implementing customer-facing dashboards using tools like PowerBI, which enable clients to interact with and derive insights from complex data sets. Through my work at Clarigent Health, I have been able to leverage my expertise in ML, NLP, and other AI-related tools to drive innovation and improve mental health outcomes through data-driven solutions.

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Ingrid Ramon Parra

San Francisco, California, United States of America
7 Years Experience
Cultural Anthropologist uncovering human insights in tech
Education

Purdue University West Lafayette

Ph.D., Anthropology / August, 2022

West Lafayette, Indiana, United States of America

Loyola Marymount University

M.A., Bilingual Education / January, 2013

Los Angeles, California, United States of America

UC Riverside

B.A., Native American Studies / June, 2009

Riverside, California, United States of America
Experience

Google

User Experience Researcher / January, 2022 — Present

User Experience Researcher for Fitbit at the intersection of health, gender, and equity.

Research Expertise (0)
About
Hi, I'm Ingrid. I'm a human centered researcher that approaches challenges with a keen anthropological eye and a qualitative toolkit. I employ research design that does justice to the complexity of human emotions, practices and contexts. My goal is to produce findings rooted in the human experience, resulting in data-informed recommendations for product strategy and design. My philosophy is to give dedicated attention to the human, so that opportunities for improved design and innovation can emerge. My expertise lies in research for diversity and inclusion, and global communities.

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Yongyeon Cho

Ames, Iowa, United States of America
7 Years Experience
Assistant Professor in the Department of Interior Design at Iowa State University
Education

Iowa State University

Master of Fine Arts (MFA), Interior Design / December, 2016

Ames, Iowa, United States of America

Konkuk University

M.I.A., Interior Architecture / February, 2011

Seoul

Bachelor of Arts (B.A.), Interior architecture Department / February, 2009

Seoul
Experience

Iowa State University

Assistant Professor / August, 2018 — Present

Department of Interior Design, Human-Computer Interaction Program

Keumkang Enterprises

Design Advisor / August, 2018 — Present

Responsible for tender bidding projects as a design advisor mainly, workplace design for financial firms, technology firms, and cultural spaces

Keumkang Enterprises

Interior Designer / February, 2018 — May, 2018

Served as an interior designer, participated in schematic designs, design developments, preparing presentation documents and creating construction administration

Research Expertise (0)
About
Yongyeon Cho is currently an assistant professor in the Department of Interior Design at Iowa State University. He holds a Master of Fine Art degree from Iowa State University, in Ames and a Master of Interior Architecture from Konkuk University and a Bachelor of Engineering in Interior Architecture from Soongsil University, both in Seoul, Korea. Since 2018, he is working as an interior design consultant at Keumkang Enterprises Inc, in Seoul, Korea. In 2017, he was an interior design professional at HOK, Chicago office. He was a member of a student winning team for the Healthcare Environment Award, sponsored by Contract magazine and The Center for Healthcare Design (2016). He is a recipient of Masaaki Yamada Juror’s Award of Merit (2015) & Award of Excellence at American Society of Architectural Illustrators (2019), and the winner of AAHID (American Academy of Healthcare Interior Designers) graduate research fellowship (2017).

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Kostadin Kushlev

Washington, District of Columbia, United States of America
13 Years Experience
My research focuses on interventions to improve well-being by promoting better digital habits.
Education

University of British Columbia

PhD, Psychology / August, 2015

Vancouver, British Columbia, Canada

Reed College

B.A., Psychology / May, 2008

Portland, Oregon, United States of America
Experience

Georgetown University

Assistant Professor / August, 2018 — Present

University of Virginia

Research Scientist / August, 2015 — August, 2018

Research Expertise (4)
Social Psychology
Communication
Applied Psychology
Human-Computer Interaction
About
I am broadly interested in the factors that promote or diminish happiness and well-being. My research program explores how constant connectivity to the Internet impacts people’s relationships and well-being and how we can harness technology to improve well-being and promote positive behavioral change. I am a Vanier Scholar and a Rising Star of the Association for Psychological Science (APS). I have written for *The* *New York Times*, *The Conversation*, and *Psychology Today*, and my work has been covered by other prestigious publications such as *The* *Economist, BBC, NPR, Forbes, Fast Company, Time Magazine, The Wall Stree Journal, National Geographic,* and *The Washington Post*. I have consulted for companies such as Ipsos, Canvas8, and Luce Research. See more at www.kushlev.com

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Elle Wang

San Francisco, California, United States of America
6 Years Experience
Lead Research Scientist at National AI Institute for Adult Learning and Online Education
Education

Columbia University

PhD, Cognitive Science in Education / 2017

New York, New York, United States of America
Experience

National AI Institute for Adult Learning and Online Education

Lead Research Scientist / 2021 — Present

Develop AI Agents to enable ‘weak-tie’ human-human relationship building in large-scale socio-technical ecosystems. Use social and emotional learning analytics to holistically measure and support effective learning & upskilling at scale

Action Lab at ASU

Staff Research Scientist / 2017 — Present

Lead and conduct core research projects on 1) Assessing Social and Emotional Learning (SEL) at Scale 2) Building prediction models to connect online learning and career advancement 3) Assessing trans-national online learning efficacy

Research Expertise (11)
Online learning
Intelligent technologies
Learning Analytics
MOOCs
Education
And 6 more
About
Ellen (Elle) Wang is a cognitive scientist with a focus on educational applications of artificial intelligence (AI). She is currently a lead research scientist at the National AI Institute for Adult Learning and Online Education and a staff research scientist at the Action Lab at Arizona State University. Wang received her PhD in Cognitive Science in Education from Columbia University in 2017. Her research focuses on how AI can be used to support and improve learning outcomes, with a particular focus on online and adult learners. She has developed and evaluated AI-based programs and systems for a variety of applications, including tutoring, intelligent course recommendation, and assessment. Wang’s work has been published in a variety of prestigious journals, including the Journal of Educational Psychology, the British Journal of Educational Technology, and the Journal of Experimental Psychology: Applied. She has also presented her work at numerous international conferences, including the Association for the Advancement of Artificial Intelligence (AAAI) and the International Conference on Intelligent Tutoring Systems (ITS).

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Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University
Education

Università Bocconi

B.Sc., Institute for Quantitative Methods

Milano

Carnegie Mellon University

Ph.D., School of Computer Science

Pittsburgh, Pennsylvania, United States of America
Experience

Harvard University

Research Expertise (44)
Statistics
Causal Inference
Network Science
Cell Biology
Molecular Biology
And 39 more
About
Edoardo Airoldi is a Professor in the Department of Machine Learning at Temple University. He is also the Director of the Center for Machine Learning and Health. He is a world-renowned expert in the fields of machine learning and artificial intelligence, with a focus on applications to health. Airoldi is a member of the prestigious Association for the Advancement of Artificial Intelligence (AAAI) and the International Machine Learning Society (IMLS). He has published over 200 papers in leading journals and conferences, and his work has been covered by various media outlets including The New York Times, The Wall Street Journal, The Economist, and Wired.

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Ryan Howell

San Francisco , California, United States of America
18 Years Experience
Professor of Psychology, Department of Psychology, San Francisco State University
Education

University of California, Riverside

PhD, Social / Personality Psychology Division / 2005

Riverside, California, United States of America

University of California, Riverside

MA, Social / Personality Psychology / 2002

Riverside, California, United States of America

Westmont College

BSc, Psychology / 1998

Santa Barbara, California, United States of America
Experience

San Francisco State University, Department of Psychology

Associate Professor / 2012 — Present

Research Expertise (34)
Happiness
Psychiatry and Mental health
Clinical Psychology
History and Philosophy of Science
Applied Psychology
And 29 more
About
Dr. Ryan Howell is an Associate Professor at San Francisco State University. His research interests include the psychology of goals and how people pursue and achieve them. Dr. Howell received his PhD in Social/Personality Psychology from the University of California, Riverside in 2005.

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Ben Bartlett

8 Years Experience
Quantum Computer Scientist at Stanford
Education

Stanford University

PhD, Applied Physics

Stanford, California, United States of America

Stanford University

MS, Electrical Engineering

Stanford, California, United States of America

California Institute of Technology

BS, Physics, Computer Science

Pasadena, California, United States of America
Experience

Stanford University

PhD Student / 2017 — Present

AT&T Foundry

2017 — 2017

SLAC National Accelerator Laboratory

Undergraduate researcher / 2016 — 2016

Research Expertise (8)
Programmable Photonics
Photonic Computing
Quantum Information
Quantum Optics
Atomic and Molecular Physics, and Optics
And 3 more
About
Bartlett is a PhD student in applied physics at Stanford University. He also has a master's degree in electrical engineering from Stanford, and a bachelor's degree in physics and computer science from the California Institute of Technology. He has experience as an undergraduate researcher at the SLAC National Accelerator Laboratory and the European Organization for Nuclear Research.

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Thomas O'Neill

Alberta, Alberta, Canada
11 Years Experience
Industrial and Organizational Psychologist
Education

Western University

PhD, Department of Psychology / April, 2011

London, Ontario, Canada
Experience

University of Calgary

Full Professor of Industrial and Organizational Psychology / July, 2011 — Present

Research Expertise (8)
Communication
Organizational Behavior and Human Resource Management
Applied Psychology
Developmental and Educational Psychology
Social Psychology
And 3 more
About
Tom is a global research leader in the areas of high-performance teamwork, virtual team and leader effectiveness, flexible remote and hybrid work, human-autonomy teaming, conflict and conflict management, personality, and assessment. His research funding exceeds $6M and he currently leads a lab team of 15, which includes doctoral, post-doctoral, and masters candidates, as well as undergraduate students and staff members. Tom has published over 70 peer-reviewed journal articles in outlets such as Journal of Applied Psychology, Journal of Management, Academy of Management Learning and Education, Organizational Research Methods, Computers in Human Behavior, and Human Resource Management Review, and he has worked extensively to translate the science of high-performance teamwork and flexible remote work into practice through consultations, workshops, public lectures, training, software development, and other services.

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Example computer science projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on computer science?

Optimizing Supply Chain Management

A computer science researcher can analyze and optimize supply chain processes using algorithms and data analysis techniques. This can lead to improved efficiency, reduced costs, and better inventory management for companies in various industries.

Enhancing Cybersecurity Measures

Collaborating with a computer science researcher can help companies strengthen their cybersecurity measures. Researchers can develop advanced encryption algorithms, detect vulnerabilities, and provide solutions to protect sensitive data and systems.

Developing Intelligent Chatbots

Computer science researchers can assist in developing intelligent chatbots that can automate customer support and improve user experience. These chatbots can understand natural language, provide personalized responses, and handle complex queries.

Predictive Analytics for Marketing

By leveraging machine learning algorithms, computer science researchers can help companies analyze large datasets and predict customer behavior. This can enable targeted marketing campaigns, personalized recommendations, and improved customer engagement.

Optimizing Energy Consumption

Computer science researchers can develop algorithms and models to optimize energy consumption in various industries. This can lead to reduced energy costs, improved sustainability, and more efficient resource allocation.