Work with thought leaders and academic experts in natural language processing

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 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.

Jim Samuel is an Associate Professor of Practice and Executive Director of the Informatics Program at the Bloustein School. He is an information and artificial intelligence (AI) scientist, with significant industry experience in finance, technology, entrepreneurship and data analytics. Dr. Samuel’s primary research covers human intelligence and artificial intelligences interaction and information philosophy.  Dr. Samuel’s applied research focuses on the optimal use of big data and smart data driven AI applications, textual analytics, natural language processing and artificially intelligent public opinion informatics. His expertise extends to socioeconomic implications of AI, applied machine learning, social media analytics, AI education and AI bias. Dr. Samuel completed his Ph.D. from the Zicklin School of Business, Baruch College – City University of New York, and he also has M.Arch and M.B.A (International Finance) degrees.  Dr. Samuel has worked with large multinational financial services corporations, and advises businesses and organizations on data analytics and AI driven value creation strategies. He is passionate about research driven thought leadership in AI, information philosophy, analytics and informatics. 

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.

Leilani Gilpin is an assistant professor of computer science at UC Santa Cruz. She holds a Ph.D. in electrical engineering and computer science from the Massachusetts Institute of Technology and a B.S. in computer science and mathematics from the University of California, San Diego. She also has experience as an AI researcher at Sony and the Palo Alto Research Center.

Dr. Suhang Wang is an Assistant Professor of Computer Science and Engineering at Pennsylvania State University. He received his PhD in Computer Science from Arizona State University in 2018, and his Master's degree in Electrical Engineering: Systems from the University of Michigan in 2013. Before joining Penn State, Dr. Wang was a postdoctoral researcher at the University of California, Santa Barbara. His research interests include natural language processing, artificial intelligence, and machine learning. He was recognized for his work at the International Conference on Knowledge Discovery and Data Mining in 2017 and the Fifth ACM International Conference on Web Search and Data Mining in 2016.

Dr Fadekemi Janet Osaye is a mathematician whose primary research interest is in graph theory and network modeling. In particular, she is interested in distance measures in graphs and their applications to solving many real-world problems. Her interest in discrete mathematics was inspired by her research project carried out at AIMS Ghana. She has published several articles in reputable journals and has presented in several conferences across the globe. In 2019, she became the first black female to be awarded a PhD in Mathematics by the University of Johannesburg, South Africa, in its 116 years of its existence. Since June 2021, she has been an Assistant Professor of Mathematics at Alabama State University and was previously a Visiting Assistant Professor at Auburn University. She is the founder of GirlsMatics Foundation, a STEM non-governmental organisation for girls in Nigeria which was motivated by her involvement with AIMS Ghana’s outreach programs for high school students in Biriwa, Ghana. She is also the co-founder of FadNna Partners, an analytics and management firm based in Lagos, Nigeria.

My research focuses on expanding the places where robots can be deployed. My lab, the Living with Robots Laboratory, has the mission of seeing robots in every home and workplace. To that end, I work on technologies to enable robots to operate in places designed for people, and technologies to enable robots to better interact with people. I am on the executive committee for RoboCup@Home. I am an assistant director of the UT Austin robotics research consortium, Texas Robotics. I am an associate editor for top conferences and journals in robotics. I work on problems relating to autonomous social human robot interaction, artificial intelligence, and robotics architectures.

Greetings👋 I am a Ph.D. Candidate in Information Science at Indiana University Bloomington. My scholarly inquiries delve into the social dynamics prevalent in privacy, digital humanities, and open science, often through a lens of computational methodologies. I also dedicate significant engineering efforts to developing AI tools for public and community good, including circumventing authorship identification attacks and making scientific knowledge more accessible. I received my master's degree in Archival Studies at Wuhan University.

Dr. Nima Ziraknejad is a Co-Founder and CEO at NZ Technologies Inc., a machine vision and robotics company. He is also the Regional Lead for Western Canada at Auto21, a Canadian national research and development network. Dr. Ziraknejad obtained his PhD in Electrical Engineering from the University of British Columbia in 2014, where his research focused on machine vision and robotics. He also holds a MS in Electrical and Computer Engineering from the University of British Columbia. Prior to his current roles, Dr. Ziraknejad worked as a Product Manager at Weir Motion Metrics, where he was responsible for managing the development and commercialization of new products.

I am a Director of Machine Learning Research at Cambridge Cognition, where I improve the products using language technology. I am also a Science Lead at the ARVA non-profit, where I lead research efforts in AI safety. I participated in the development of the BLOOM large language model and led the organization of the End-to-End NLG shared task which set a new research agenda for neural text generation. My research was published in well-regarded journals and conferences, such as Interspeech, NAACL and EMNLP.

José Luis Jiménez Márquez is a highly skilled computer scientist with a PhD in Computer Sciences and Technology from Universidad Carlos III de Madrid. He completed his doctoral studies in 2019, specializing in the field of computer science. During his time as a student, José Luis excelled academically and was recognized for his exceptional research and problem-solving abilities. After completing his PhD, José Luis gained valuable experience as a Visiting Researcher at Universidad Autonoma de Madrid. He worked on several projects related to data analysis and machine learning, further honing his skills in these areas. Currently, José Luis works as a Data Scientist at The Villa Group, where he utilizes his expertise in data analysis and machine learning to develop innovative solutions and drive business growth. He has a proven track record of delivering high-quality results and has received praise from his colleagues for his strong work ethic and dedication to his work. José Luis is a passionate and driven individual, always seeking opportunities to expand his knowledge and skills in computer science. He is a valuable asset to any team and is committed to making a positive impact in the field of computer science through his work.