Prof. Ran Gilad-Bachrach
Research work
The Machine Learning for Health and Well-Being (MLwell) Lab is a research lab at the Bio-Medical Engineering department at Tel-Aviv University. Our vision is to create the technology to allow everyone and everywhere access to personalized medicine and precision psychology that is: (i) effective (ii) respects the biological, cultural and behavioral differences between people (iii) respects privacy and other ethical requirements (iv) affordable. Our mission is to improve the state in the art in machine learning algorithms for personalized medicine and precision psychology.
Areas of interest & scientific knowledge
Behavioral Neuroscience
Brain Disorders Research
Computational & Theoretical Neuroscience
Specialization
Selected Publications
- S Shaklai, R Gilad-Bachrach, E Yom-Tov, N Stern, Detecting impending stroke from cognitive traits evident in internet searches: Analysis of archival data, Journal of Medical Internet Research 2021, https://www.jmir.org/2021/5/e27084/
- Yonatan E. Brand, Dafna Schwartz, Eran Gazit, Aron S. Buchman, Ran Gilad-Bachrach and Jeffrey M. Hausdorff, Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease, Sensors 2022, https://www.mdpi.com/1424-8220/22/18/7094
- Yonatan E. Brand, Dafna Schwartz, Eran Gazit, Aron S. Buchman, Ran Gilad-Bachrach and Jeffrey M. Hausdorff, Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease, Sensors 2022, https://www.mdpi.com/1424-8220/22/18/7094
- Dowlin, Nathan; Gilad-Bachrach, Ran, Laine, Kim; Lauter, Kristin E.; Naehrig, Michael & Wernsing, John, CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy, International Conference on Machine Learning (ICML), 2016, http://proceedings.mlr.press/v48/gilad-bachrach16.html
