World's Best Scientists 2026 revealed!

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Engineering and Technology

D-Index
35
Citations
7369
World Ranking
8887
National Ranking
2472

Research.com Recognitions

  • 2020 - ACM Senior Member

Overview

Elad Yom-Tov is a researcher affiliated with Microsoft in the United States whose work spans medicine and social sciences with a strong focus on epidemiology and artificial intelligence. Their research integrates digital data sources and machine learning techniques applied to health and social behavior.

The scientist's work covers multiple subfields including epidemiology, sociology and political science, general health professions, artificial intelligence, and social psychology. The main topics of investigation involve:

  • Data-Driven Disease Surveillance
  • Misinformation and Its Impacts
  • COVID-19 epidemiological studies
  • Mobile Health and mHealth Applications
  • Digital Mental Health Interventions
  • Health Literacy and Information Accessibility
  • Influenza Virus Research Studies

Recent publications illustrate the application of digital and online data to medical and psychological research. Notable recent papers include:

  • "Tracking COVID-19 using online search," 2021, npj Digital Medicine
  • "mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study," 2020, BMJ Open
  • "Assessment of the Frequency of Online Searches for Symptoms Before Diagnosis: Analysis of Archival Data," 2020, Journal of Medical Internet Research
  • "Association of COVID19-induced anosmia and ageusia with depression and suicidal ideation," 2021, Journal of Affective Disorders Reports
  • "Predicting eating disorders from Internet activity," 2020, International Journal of Eating Disorders

Elad Yom-Tov frequently collaborates with other researchers in related fields. Their prominent coauthors include Vasileios Lampos, Ingemar J. Cox, Manuela Fritz, Michael Grimm, and Nicholas C. Jacobson. These collaborations reflect interdisciplinary research involving data science, digital health, and behavioral studies.

The researcher often publishes in venues that specialize in digital medicine, health informatics, and empirical social science research. Frequent publication venues include:

  • Journal of Medical Internet Research
  • npj Digital Medicine
  • AEA Randomized Controlled Trials
  • arXiv (Cornell University)
  • BMJ Open

Elad Yom-Tov received the ACM Senior Member award in 2020, recognizing standing in the computing research community.

Best Publications

  • An improved P300-based brain-computer interface

    H. Serby;E. Yom-Tov;G.F. Inbar

  • Models of user engagement

    Janette Lehmann;Mounia Lalmas;Elad Yom-Tov;Georges Dupret

  • Microsoft Malware Classification Challenge

    Royi Ronen;Marian Radu;Corina Feuerstein;Elad Yom-Tov

  • Milepost GCC: Machine Learning Enabled Self-tuning Compiler

    Grigori Fursin;Yuriy Kashnikov;Abdul Wahid Memon;Zbigniew Chamski

  • What makes a query difficult

    David Carmel;Elad Yom-Tov;Adam Darlow;Dan Pelleg

  • Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval

    Elad Yom-Tov;Shai Fine;David Carmel;Adam Darlow

  • Measuring User Engagement

    Mounia Lalmas;Heather O'Brien;Elad Yom-Tov

  • Predicting Customer Churn in Mobile Networks Through Analysis of Social Groups

    Yossi Richter;Elad Yom-Tov;Noam Slonim

  • Estimating the Query Difficulty for Information Retrieval

    David Carmel;Elad Yom-Tov

  • Encouraging Physical Activity in Patients With Diabetes: Intervention Using a Reinforcement Learning System

    Elad Yom-Tov;Guy Feraru;Mark Kozdoba;Shie Mannor

  • Classification of finger activation for use in a robotic prosthesis arm

    D. Peleg;E. Braiman;E. Yom-Tov;G.F. Inbar

  • Automatic churn prediction

    Shai Fine;Elad Yom-Tov;Yossi Richter

  • MILEPOST GCC: machine learning based research compiler

    Grigori Fursin;Cupertino Miranda;Olivier Temam;Mircea Namolaru

  • Postmarket Drug Surveillance Without Trial Costs: Discovery of Adverse Drug Reactions Through Large-Scale Analysis of Web Search Queries

    Elad Yom-Tov;Evgeniy Gabrilovich

  • Feature selection for the classification of movements from single movement-related potentials

    E. Yom-Tov;G.F. Inbar

  • Pro-anorexia and pro-recovery photo sharing: a tale of two warring tribes

    Elad Yom-Tov;Luis Fernandez-Luque;Ingmar Weber;Steven P Crain

  • The Impact of Delay Announcements on Hospital Network Coordination and Waiting Times

    Jing Dong;Elad Yom-Tov;Galit B. Yom-Tov

  • Tracking COVID-19 using online search

    Vasileios Lampos;Maimuna S. Majumder;Maimuna S. Majumder;Elad Yom-Tov;Michael Edelstein;Michael Edelstein

  • mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study.

    Adrian Aguilera;Caroline A Figueroa;Rosa Hernandez-Ramos;Urmimala Sarkar

  • Patterns of Information-Seeking for Cancer on the Internet: An Analysis of Real World Data

    Yishai Ofran;Ora Paltiel;Dan Pelleg;Jacob M. Rowe

  • Method and system for scheduling of jobs

    Yariv Aridor;Richard Edwin Harper;Elad Yom-Tov

  • A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients.

    Irit Hochberg;Guy Feraru;Mark Kozdoba;Shie Mannor

  • Promoting Civil Discourse Through Search Engine Diversity

    Elad Yom-Tov;Susan Dumais;Qi Guo

  • Detection of movement-related potentials from the electro-encephalogram for possible use in a brain-computer interface.

    Elad Yom-Tov;Gideon F Inbar

  • Detecting Disease Outbreaks in Mass Gatherings Using Internet Data

    Elad Yom-Tov;Diana Borsa;Ingemar J Cox;Rachel A McKendry

  • Apparatus for and Method of Generating Complex Event Processing System Rules

    Asaf Adi;Elad Yom-Tov

  • Proceedings of the GCC Developers' Summit

    Grigori Fursin;Cupertino Miranda;Olivier Temam;Mircea Namolaru

Frequent Co-Authors

David Carmel
David Carmel Amazon (Israel)
Ingemar J. Cox
Ingemar J. Cox University College London
Shie Mannor
Shie Mannor Technion – Israel Institute of Technology
Fernando Diaz
Fernando Diaz Microsoft (United States)
Moshe Tennenholtz
Moshe Tennenholtz Technion – Israel Institute of Technology
Noam Slonim
Noam Slonim IBM (United States)
Ryen W. White
Ryen W. White Microsoft (United States)
Eric Horvitz
Eric Horvitz Microsoft (United States)
William R. Hersh
William R. Hersh Oregon Health & Science University

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