Work with thought leaders and academic experts in Digital Health

Companies can greatly benefit from working with academic researchers in the field of Digital Health. These experts bring a wealth of knowledge and experience that can help companies drive innovation, improve healthcare outcomes, and stay ahead of the competition. By collaborating with a Digital Health researcher, companies can gain insights into emerging technologies and trends, develop new products and services, conduct research studies, and enhance their digital health strategies. Additionally, academic researchers can provide valuable guidance on regulatory compliance, data privacy, and ethical considerations. Overall, partnering with a Digital Health expert can give companies a competitive edge and help them navigate the complex landscape of healthcare technology.

Researchers on NotedSource with backgrounds in Digital Health include Carsten Eickhoff, Ph.D., Enrico Capobianco, Prashant Janjal, Christopher DiCesare, Ph.D., John Hixson, and Kunal Mankodiya.

Carsten Eickhoff, Ph.D.

Tübingen
15 Years Experience
Professor | Scientific Director | Founder | Board Member | Expert in Natural Language Processing and AI
Education

Technische Universiteit Delft

Ph.D. (Computer Science) / October, 2014

Delft

The University of Edinburgh

M.Sc. (Artificial Intelligence) / November, 2009

Edinburgh

FHDW Hannover

B.Sc. / 2008

Experience

University of Tübingen

Professor / 2022 — Present

Brown University

Manning Assistant Professor / 2018 — 2022

ETH Zurich

Postdoc / 2014 — 2018

Most Relevant Research Expertise
Digital Health
Other Research Expertise (5)
Natural Language Processing
Information Retrieval
Generative AI
Machine Learning
Technology Entrepreneurship
About
Carsten is a Professor at the University of Tübingen where his lab specializes in the development of interpretable natural language processing and AI techniques. Prior to joining Tübingen, he was the Manning Assistant Professor of Medical and Computer Science at Brown University. He received degrees from the University of Edinburgh and TU Delft, and was a postdoctoral fellow at ETH Zurich and Harvard University. Carsten has authored more than 150 articles in computer science conferences (e.g., ICLR, ACL, SIGIR, WWW, KDD) and clinical journals (e.g., Nature Digital Medicine, The Lancet - Respiratory Medicine, Radiology, European Heart Journal). His research has been supported by the Swiss National Science Foundation, NSF, NIH, DARPA, IARPA, Google, Amazon, Microsoft and others. Aside from his academic endeavors, he is a founder and board member of several deep technology startups.

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Enrico Capobianco

25 Years Experience
Expertise in network science and special interest in cancer domain. Scientific Leader, Advisor. Quant, Computational & Digital Biomedical & Health research.
Education

Stanford University

Post-doctoral Fellowship, AI, Machine & Statistical Learning, Neural Networks / 1998

Stanford, California, United States of America

University of Padua

PhD, Statistical Sciences / 1995

Padova
Experience

The Jackson Laboratory

Associate Director, Computational Systems / 2018 — 2024

Research Expertise (35)
Networks
Machine Learning
Big Data
Systems Biology & Medicine
Statistics
And 30 more
About
Enrico Capobianco is a highly experienced and accomplished expert in the fields of artificial intelligence, machine learning, and statistical learning. He holds a Post-doctoral Fellowship in AI, Machine & Statistical Learning, Neural Networks from Stanford University, which he completed in 1998. Prior to that, he received his PhD in Statistical Sciences from the University of Padua in 1995. With over 25 years of experience, Capobianco has held various positions in academia, research, and industry. Most recently, he served as the Associate Director of Computational Systems at The Jackson Laboratory, a leading non-profit research institute focused on genetics and genomics. In this role, he oversaw the development and implementation of computational systems and tools for genetic and genomic research. Throughout his career, Capobianco has published numerous articles and book chapters on topics such as machine learning, artificial intelligence, and computational biology. He has also been a keynote speaker at various international conferences and has received numerous awards and grants for his research. In addition to his professional achievements, Capobianco is known for his collaborative and innovative approach to problem-solving. He is constantly seeking new ways to apply advanced computational techniques to solve complex problems in various industries, from healthcare to finance. Overall, Enrico Capobianco is a highly respected and sought-after expert in the fields of AI, machine learning, and statistical learning. His education and experience have equipped him with the knowledge and skills to make significant contributions to the advancement of these fields.

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Prashant Janjal

2 Years Experience
Experienced Public Health Researcher and Senior Medical Writer Specializing in Scientific Communication, Project Management, and Cross-Functional Collaboration in Diverse Therapeutic Areas
Education

Tata Institute of Social Sciences

Master of Public Health in Health Policy, Economics and Finance, School of Health Systems Studies / March, 2019

Mumbai
Experience

Apollo Telehealth

Public Health Specialist / February, 2022 — July, 2023

Most Relevant Research Expertise
Digital Health
Other Research Expertise (4)
Public Health
Global Health
Health Policy
Health Economics
About
I am a dedicated Public Health Researcher and Senior Medical Writer with over 5 years of experience in scientific communication, project management, and health program development. My expertise spans various therapeutic areas, including Oncology, Genetics, and Pediatrics, where I have successfully authored and peer-reviewed numerous research papers published in high-impact journals.Throughout my career, I have demonstrated a strong ability to lead cross-functional teams and manage complex research projects, ensuring timely delivery and adherence to quality standards. My role as a Senior Medical Writer involved overseeing scientific writing initiatives and conducting Health Technology Assessments, which contributed to significant advancements in patient care and health policy. I possess a solid foundation in data management and visualization tools such as SPSS, Power BI, and Tableau, enabling me to analyze metrics effectively and drive data-informed decision-making. My commitment to fostering collaboration among stakeholders has been instrumental in enhancing research outcomes and promoting evidence-based practices. Passionate about advancing public health initiatives, I continuously seek opportunities to innovate and improve processes within the research landscape. I am eager to leverage my skills and experiences to contribute meaningfully to impactful health programs and publications.

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Christopher DiCesare, Ph.D.

15 Years Experience
Experienced scientific consultant with operational and technical expertise in human health and performance evaluation across the lifespan.
Education

University of Cincinnati

Ph.D., Computer Science and Engineering, Bioinformatics / April, 2020

CIncinnati, OH

Miami University

M.S., Exercise and Health Studies, Exercise Science / December, 2011

Oxford, OH

Miami University

B.A., Zoology / May, 2009

Oxford, OH
Experience

BIOCORE LLC

Lead Data Scientist, Data Analytics / January, 2025 — Present

Direct a team of data scientists analysts and engineers in support of Biocores athlete health and safety research and development programs across various professional sports teams and leagues. Architect end-to-end ML-based predictive modeling tools for the purposes of athlete health monitoring injury risk stratification and performance enhancement. Collaborate with senior leadership to develop new business initiatives oversee execution of project deliverables present findings and design technical solutions for executive-level clients.

EXPONENT INC.

Managing Scientist, Biomechanics / March, 2023 — January, 2025

Served as lead oversight on real-world user research studies evaluating the safety efficacy usability and clinical feasibility of human-facing wearable devices consumer products and digital health technologies. Designed and validated ML-based algorithms for automated health monitoring and injury risk detection in user-facing digital health and medical devices sports technologies and consumer products. Evaluated the clinical utility and feasibility of emerging technologies including augmented virtual reality AI ML methodologies and other next-generation interfaces in accordance with industry and regulatory standards.

Senior Scientist, Biomechanics / July, 2021 — March, 2023

Designed and executed user research studies to quantify and evaluate health wellness and performance characteristics of wearable devices and consumer products in real-world environments. Conducted usability anthropometric and ergonomic assessments to evaluate and provide recommendations to optimize product user experience across diverse populations.

UNIVERSITY OF MICHIGAN

Research Fellow, Department of Mechanical Engineering / June, 2020 — June, 2021

Developed precision medicine applications utilizing wearable devices digital health technologies and applied ML to address data-centric problems in healthcare and human performance settings. Devised a novel algorithm to support at-home automated balance training in older adults with balance concerns which resulted in an 865000 NSF Mind Motor and Machine Nexus (M3X) grant (Award Number 2125256).

Most Relevant Research Expertise
Digital Health
Other Research Expertise (4)
Human Movement Science
Data Science
Biomechanics
Complex Systems
About
Dr. DiCesare is an experienced scientific consultant and researcher of human health and performance across the lifespan, with broad experience and technical expertise in applied biomechanical analysis, sports science, and data science methodology for injury prevention, performance enhancement, and rehabilitation engineering. He has held various roles in scientific consulting and academia, having primarily worked with industry clients on human performance research and data analytics strategy.

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John Hixson

Education

Johns Hopkins

University of Pennsylvania

Research Expertise (0)

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Kunal Mankodiya

Education

Carnegie Mellon University

University of Luebeck

Research Expertise (0)

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Example Digital Health projects

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

Developing a Remote Patient Monitoring System

A company in the healthcare industry can collaborate with a Digital Health researcher to develop a remote patient monitoring system. The researcher can provide expertise in designing and implementing the system, ensuring data security and privacy, and analyzing the collected data to derive meaningful insights. This collaboration can help the company improve patient care, reduce hospital readmissions, and optimize resource allocation.

Designing a Mobile Health Application

A technology company looking to enter the digital health market can partner with a Digital Health researcher to design a mobile health application. The researcher can contribute their knowledge of user-centered design, health behavior change theories, and evidence-based practices to create an intuitive and effective app. This collaboration can help the company attract and engage users, differentiate their product from competitors, and improve health outcomes.

Conducting a Clinical Trial for a Digital Therapeutic

A pharmaceutical company developing a digital therapeutic can collaborate with a Digital Health researcher to conduct a clinical trial. The researcher can provide expertise in study design, participant recruitment, data analysis, and interpretation of results. This collaboration can help the company gather evidence of the therapeutic's efficacy, navigate regulatory requirements, and bring the product to market more efficiently.

Implementing Electronic Health Records (EHR) System

A healthcare organization can work with a Digital Health researcher to implement an electronic health records (EHR) system. The researcher can offer insights into best practices, interoperability standards, and data governance to ensure a smooth transition and optimize the use of the EHR system. This collaboration can help the organization improve patient care coordination, streamline workflows, and enhance data-driven decision-making.

Developing a Predictive Analytics Model for Disease Outbreaks

A public health agency can collaborate with a Digital Health researcher to develop a predictive analytics model for disease outbreaks. The researcher can leverage their expertise in data analytics, machine learning, and epidemiology to build a model that can forecast disease trends, identify high-risk areas, and inform public health interventions. This collaboration can help the agency improve preparedness, allocate resources effectively, and mitigate the impact of outbreaks.