Work with thought leaders and academic experts in Health Informatics

Companies can benefit from working with Health Informatics experts in various ways. These experts can provide valuable insights and solutions to improve healthcare systems, optimize data management, enhance patient care, and drive innovation. They can help companies develop and implement electronic health record systems, analyze healthcare data to identify trends and patterns, and design and evaluate health information technologies. Health Informatics experts can also assist in ensuring compliance with healthcare regulations and standards, improving interoperability between different healthcare systems, and enhancing cybersecurity measures. Collaborating with these experts can lead to improved efficiency, cost savings, better decision-making, and ultimately, better patient outcomes.

Researchers on NotedSource with backgrounds in Health Informatics include Christos Makridis, Daniel Milej, Ph.D., Savannah Lokey, Ph.D., Ryan Howell, Edoardo Airoldi, Samuel Ojima Adejoh, Emmanouil Mentzakis, Jeffrey Townsend, and Jim Samuel.

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

Most Relevant Research Expertise
Health Informatics
Other Research Expertise (15)
Finance
Economics and Econometrics
Accounting
Pharmacology (medical)
Law
And 10 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.
Most Relevant Publications (3+)

25 total publications

Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans

JMIR Medical Informatics / Jun 02, 2021

Makridis, C., Hurley, S., Klote, M., & Alterovitz, G. (2021). Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans. JMIR Medical Informatics, 9(6), e28921. https://doi.org/10.2196/28921

Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans

Computers in Biology and Medicine / Jun 01, 2021

Makridis, C. A., Zhao, D. Y., Bejan, C. A., & Alterovitz, G. (2021). Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans. Computers in Biology and Medicine, 133, 104354. https://doi.org/10.1016/j.compbiomed.2021.104354

Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs

BMJ Health & Care Informatics / Jun 01, 2021

Makridis, C. A., Strebel, T., Marconi, V., & Alterovitz, G. (2021). Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs. BMJ Health & Care Informatics, 28(1), e100312. https://doi.org/10.1136/bmjhci-2020-100312

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Daniel Milej, Ph.D.

London, Ontario, Canada
15 Years Experience
Ph.D. in biomedical engineering
Education

Western University

Post-doctorate fellowship, Department of Medical Biophysics / June, 2019

London

Polish Academy of Science

PhD, Nalecz Institute of Biocybernetics and Biomedical Engineering / June, 2014

Warsaw

Military Univeristy of Technology

MSc, Department of Electronics / June, 2008

Warsaw
Experience

Lawson Research Institute

Research Associate / July, 2019 — July, 2025

Scientist / August, 2024 — Present

Western University

Postdoctoral fellow / September, 2014 — June, 2019

Assistant Professor / September, 2024 — Present

Polish Academy of Science

Researcher/PhD Student / June, 2008 — September, 2014

Most Relevant Research Expertise
Health Informatics
Other Research Expertise (31)
Biomedical Optics
NIRS
fNIRS
Diffuse Correlation Spectroscopy
CBF
And 26 more
About
Dr. Daniel Milej is a multidisciplinary researcher with experience in medical biophysics, electronics, biocybernetics, biomedical optics and engineering. He is highly knowledgeable and experienced in a range of research techniques. He is a Scientist at the Lawson Research Institute, leading the transition of multimodal optical imaging systems from a research setting to clinical use in an ICU and OR environment, working closely with teams of nurses, surgeons, doctors and respiratory therapists. Previously, he was a Postdoctoral Fellow and Research Associate working on developing noninvasive modalities for brain activity monitoring in the Department of Medical Biophysics at Western University. Before that, Dr. Milej worked as a Researcher at the Nalecz Institute of Biocybernetics and Biomedical Engineering. He obtained his Ph.D. in 2014 from the Polish Academy of Science, specializing in Biocybernetics and Biomedical Engineering. He received his MSc in Electronics/Optoelectronics from the Military University of Technology, Warsaw, Poland, in 2008.
Most Relevant Publications (1+)

91 total publications

Analysis of estimation of optical properties of sub superficial structures in multi layered tissue model using distribution function method

Computer Methods and Programs in Biomedicine / Jan 01, 2020

Żołek, N., Rix, H., & Botwicz, M. (2020). Analysis of estimation of optical properties of sub superficial structures in multi layered tissue model using distribution function method. Computer Methods and Programs in Biomedicine, 183, 105084. https://doi.org/10.1016/j.cmpb.2019.105084

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Savannah Lokey, Ph.D.

Los Angeles, California, United States of America
9 Years Experience
Research specialist in social neuroscience and clinical psychology | Clinical expert in evidence-based therapy for schizophrenia and bipolar disorder
Education

Arizona State University

Bachelor of Science, Psychology / May, 2015

Tempe, Arizona, United States of America

University of Illinois at Chicago

Master of Arts, Psychology / December, 2017

Chicago, Illinois, United States of America

University of Illinois at Chicago

Doctor of Philosophy, Clinical Psychology / August, 2023

Chicago, Illinois, United States of America
Experience

National Institute of Mental Health

Intramural Research Training Fellow (IRTA) / June, 2015 — August, 2017

Laboratory of Brain & Cognition, Section on Neurocircuitry

Rush University Medical Center

Research Associate / August, 2018 — June, 2022

Social Neuroscience and Psychopathology Lab

University of California Los Angeles

Predoctoral Intern, Major Mental Illness track / July, 2022 — July, 2023

Semel Institute for Neuroscience and Human Behavior

Most Relevant Research Expertise
Health Informatics
Other Research Expertise (14)
Schizophrenia
fMRI
Social Cognition
Neuropsychology
Behavioral Neuroscience
And 9 more
About
Dr. Savannah Lokey is a clinician-scientist with a passion for research and helping others. She received her Bachelor of Science in Psychology from Arizona State University in 2015, followed by a Master of Arts in Psychology in 2017 and Doctor of Philosophy in Clinical Psychology in 2023 from the University of Illinois at Chicago. Dr. Lokey has gained valuable experience in the field of clinical psychology and social neuroscience through various positions. She served as an Intramural Research Training Fellow (IRTA) at the National Institute of Mental Health, where she conducted research on how a rare genetic disorder (Moebius Syndrome) affects emotion processing and underlying neurocircuitry. She also worked as a Research Associate at Rush University Medical Center, where she focused on the social neuroscience of schizophrenia and bipolar disorder. She uses many techniques in her research, including fMRI, ecological momentary assessment (EMA), survey research, and passive smartphone sensor data. In addition to her research experience, Dr. Lokey has also received clinical training in various settings. She completed a predoctoral internship in the Major Mental Illness track at the University of California Los Angeles, where she provided psychotherapy and assessment services to individuals with severe mental illness (schizophrenia, bipolar disorder, etc.). She has deep knowledge about evidence-based interventions and principles of behavioral change, including Cognitive Behavioral Therapy (CBT), Acceptance and Commitment Therapy (CBT), trauma therapy, exposure therapy, cognitive remediation, and social skills training. Dr. Lokey is dedicated to using her knowledge and skills to improve the lives of individuals struggling with mental health issues. She is committed to expanding research on these conditions and developing and testing new treatment approaches in the field of psychology. In her free time, she enjoys hiking, reading, and spending time with her family and friends.

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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

Most Relevant Research Expertise
Health Informatics
Other Research Expertise (33)
Happiness
Psychiatry and Mental health
Clinical Psychology
History and Philosophy of Science
Applied Psychology
And 28 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.
Most Relevant Publications (1+)

64 total publications

Understanding Long-Term Trajectories in Web-Based Happiness Interventions: Secondary Analysis From Two Web-Based Randomized Trials

Journal of Medical Internet Research / Jun 08, 2019

Sanders, C. A., Schueller, S. M., Parks, A. C., & Howell, R. T. (2019). Understanding Long-Term Trajectories in Web-Based Happiness Interventions: Secondary Analysis From Two Web-Based Randomized Trials. Journal of Medical Internet Research, 21(6), e13253. https://doi.org/10.2196/13253

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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

Most Relevant Research Expertise
Health Informatics
Other Research Expertise (43)
Statistics
Causal Inference
Network Science
Cell Biology
Molecular Biology
And 38 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.
Most Relevant Publications (1+)

106 total publications

Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study

Journal of Medical Internet Research / Oct 30, 2020

Janmohamed, K., Soale, A.-N., Forastiere, L., Tang, W., Sha, Y., Demant, J., Airoldi, E., & Kumar, N. (2020). Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study. Journal of Medical Internet Research, 22(10), e21743. https://doi.org/10.2196/21743

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Samuel Ojima Adejoh

Lagos
15 Years Experience
University of Lagos
Education

Ph.D., Social sciences (Sociology) / January, 2009

Ibadan
Experience

University of Lagos

Lecturer/Dr. / January, 2009 — Present

Most Relevant Research Expertise
Health Informatics
Other Research Expertise (23)
Medical Sociology
Social Work
Research Methods
Anesthesiology and Pain Medicine
Law
And 18 more
About
Samuel Ojima Adejoh holds a PhD. in Social sciences from the University of Ibadan with 15 years of experience in teaching, researching and community service, with particular interest in qualitative research and analysing qualitative data and report writing. I support organisations both private and public, NGOs and community organisations across Nigeria to enhance strategy alignment, course content design, social risks and impact assessments and social safeguard. Workshop facilitator and stakeholders engagement facilitator.
Most Relevant Publications (1+)

55 total publications

The use of and need for data and information by health professionals supporting the delivery of palliative cancer care services in sub-Saharan Africa: A qualitative study

Health Informatics Journal / Oct 01, 2022

Akeju, D., Ziegler, F., Dandadzi, A., Nabirye, E., Namisango, E., Namukwaya, E., Adejoh, S. O., Okunade, K., Fu, Y., Ebenso, B., Nkhoma, K., & Allsop, M. (2022). The use of and need for data and information by health professionals supporting the delivery of palliative cancer care services in sub-Saharan Africa: A qualitative study. Health Informatics Journal, 28(4), 146045822211390. https://doi.org/10.1177/14604582221139054

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Emmanouil Mentzakis

London
15 Years Experience
Health Economist, Professor at City University of London
Education

University of Aberdeen

PhD, Health Economics Research Unit

Aberdeen
Experience

University of Southampton

Lecturer in Economics / September, 2012 — August, 2014

Associate Professor in Economics / September, 2014 — June, 2022

Professor in Economics / July, 2022 — January, 2023

NHS England

Analytical Lead / October, 2019 — July, 2020

Led the update of the CCGs need-based funding allocation formula.

City University of London

Professor / February, 2023 — Present

Head of Department of Economics / February, 2023 — Present

Most Relevant Research Expertise
Health Informatics
Other Research Expertise (21)
Pulmonary and Respiratory Medicine
Pediatrics, Perinatology and Child Health
Economics and Econometrics
Finance
Accounting
And 16 more
About
Senior academic and policy advisor. Public and private sector consultant with remit ranging from health ministries and public organizations to insurance and pharmaceutical companies. Cross-institutional leader in research and admin roles focusing on excellence, efficiency, innovation, and community. Strategic and proactive thinker with clear vision and plan, approaching challenges with creativity and adaptability. Highly motivational manager with strong communication skills and impeccable project management track-record.   Expert scholar and educator in health economics, discrete choice experiments, research study design and observational epidemiology. Long experience setting-up and coordinating multi-disciplinary teams into delivering high quality research.
Most Relevant Publications (2+)

46 total publications

A proof-of-concept framework for the preference elicitation and evaluation of health informatics technologies: the online PRESENT patient experience dashboard as a case example

BMC Medical Informatics and Decision Making / May 24, 2020

Mentzakis, E., Tkacz, D., & Rivas, C. (2020). A proof-of-concept framework for the preference elicitation and evaluation of health informatics technologies: the online PRESENT patient experience dashboard as a case example. BMC Medical Informatics and Decision Making, 20(1). https://doi.org/10.1186/s12911-020-1098-z

Estimating Determinants of Attrition in Eating Disorder Communities on Twitter: An Instrumental Variables Approach

Journal of Medical Internet Research / May 03, 2019

Wang, T., Mentzakis, E., Brede, M., & Ianni, A. (2019). Estimating Determinants of Attrition in Eating Disorder Communities on Twitter: An Instrumental Variables Approach. Journal of Medical Internet Research, 21(5), e10942. https://doi.org/10.2196/10942

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Jeffrey Townsend

New Haven, CT, Connecticut, United States of America
29 Years Experience
Professor of Biostatistics and Ecology & Evolutionary Biology
Education

Harvard University

Ph.D., Organismic and Evolutionary Biology / May, 2002

Cambridge, Massachusetts, United States of America

Brown University

Sc.B., Biology / May, 1994

Providence, Rhode Island, United States of America
Experience

Yale University

Professor / July, 2018 — Present

Elihu Professor of Biostatistics / July, 2018 — Present

Elihu Associate Professor of Biostatistics / July, 2017 — June, 2018

Associate Professor / July, 2013 — June, 2018

Associate Professor / July, 2013 — June, 2017

Assistant Professor / July, 2006 — June, 2013

University of Connecticut

Assistant Professor / August, 2004 — May, 2006

St. Ann's School

Teacher / September, 1994 — June, 1997

Most Relevant Research Expertise
Health Informatics
Other Research Expertise (52)
Evolutionary Genomics
Microbiology
Infectious Diseases
Genetics
Cell Biology
And 47 more
About
Jeffrey Townsend is a Professor of Organismic and Evolutionary Biology at Yale University. He received his Ph.D. from Harvard University in 2002 and his Sc.B. from Brown University in 1994. He has been a teacher at St. Ann's School and an Assistant Professor at the University of Connecticut. He is currently the Elihu Professor of Biostatistics at Yale University.
Most Relevant Publications (2+)

207 total publications

Jot: guiding journal selection with suitability metrics

Journal of the Medical Library Association / Dec 08, 2022

Gaffney, S. G., & Townsend, J. P. (2022). Jot: guiding journal selection with suitability metrics. Journal of the Medical Library Association, 110(3), 376–380. https://doi.org/10.5195/jmla.2022.1499

HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0

Journal of Biomedical Informatics / Oct 01, 2008

Cheung, K.-H., Yip, K. Y., Townsend, J. P., & Scotch, M. (2008). HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0. Journal of Biomedical Informatics, 41(5), 694–705. https://doi.org/10.1016/j.jbi.2008.04.001

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Jim Samuel

11 Years Experience
Associate Professor at Rutgers University
Education

Baruch College

PhD, Information Systems / 2007

New York, New York, United States of America
Experience

Rutgers University

Associate Professor / 2021 — Present

Axivest

CIO / 2012 — Present

Most Relevant Research Expertise
Health Informatics
Other Research Expertise (21)
Analytics
Artificial Intelligence
Informatics
Machine Learning
NLP NLU NLG Behavioral Finance
And 16 more
About
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. 
Most Relevant Publications (1+)

44 total publications

Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics

Healthcare / Aug 27, 2021

Ali, G. G. Md. N., Rahman, Md. M., Hossain, Md. A., Rahman, Md. S., Paul, K. C., Thill, J.-C., & Samuel, J. (2021). Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics. Healthcare, 9(9), 1110. https://doi.org/10.3390/healthcare9091110

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Example Health Informatics projects

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

Implementation of Electronic Health Record System

A Health Informatics expert can help a company implement an electronic health record (EHR) system, streamlining data management and improving patient care. They can assess the company's needs, select the appropriate EHR system, and ensure smooth integration with existing systems. The expert can also train staff on using the EHR system effectively and provide ongoing support and maintenance.

Data Analysis for Population Health Management

Health Informatics experts can analyze healthcare data to identify trends and patterns, helping companies improve population health management. They can develop algorithms and models to predict disease outbreaks, identify high-risk populations, and optimize resource allocation. The experts can also evaluate the effectiveness of interventions and provide recommendations for improving health outcomes.

Design and Evaluation of Health Information Technologies

Collaborating with a Health Informatics expert can help companies design and evaluate health information technologies. The expert can assess the company's needs, develop user-friendly interfaces, and ensure the technologies meet industry standards and regulations. They can also conduct usability testing and gather feedback to improve the technologies' functionality and effectiveness.

Interoperability Enhancement between Healthcare Systems

Health Informatics experts can assist companies in improving interoperability between different healthcare systems. They can develop standards and protocols for data exchange, facilitate seamless communication between systems, and ensure data integrity and privacy. The experts can also help companies integrate external data sources, such as wearable devices and remote monitoring systems, into their existing systems.

Cybersecurity Measures for Healthcare Data

With the increasing threat of cyberattacks, collaborating with a Health Informatics expert can help companies enhance cybersecurity measures for healthcare data. The expert can assess vulnerabilities, develop robust security protocols, and implement encryption and authentication mechanisms. They can also provide training to staff on cybersecurity best practices and conduct regular audits to ensure compliance with regulations and standards.