Work with thought leaders and academic experts in computer science

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.

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.

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.

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.

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.

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).

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

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).

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.

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.

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.

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.