Publications
Dan, O., & Loewenstein, Y. (2019). From Choice Architecture to Choice Engineering. Nature Communications, 10.1 (2019): 2808.
Dan, O., Hopp, E., Borst, A., & Segev, I. (2018). Non-uniform weighting of local motion inputs underlies dendritic computation in the fly visual system. Scientific reports, 8(1), 5787.
Dan, O., Hochner-Celnikier, D., Solnica, A., & Loewenstein, Y. (2017). Association of Catastrophic Neonatal Outcomes with Increased Rate of subsequent cesarean deliveries. Obstetrics & Gynecology, 129(4), 671-675.
Dan, O., Hopp, E., Borst, A., & Segev, I. (2018). Non-uniform weighting of local motion inputs underlies dendritic computation in the fly visual system. Scientific reports, 8(1), 5787.
Dan, O., Hochner-Celnikier, D., Solnica, A., & Loewenstein, Y. (2017). Association of Catastrophic Neonatal Outcomes with Increased Rate of subsequent cesarean deliveries. Obstetrics & Gynecology, 129(4), 671-675.
Research interests
(a) Reinforcement learning - on the border of machine and biological intelligence.
(b) Sequential effects in decision making.
(c) Limitations of behavioral models in explaining behavior.
(d) How and when do humans forage for information - curiosity vs. boredom.
(b) Sequential effects in decision making.
(c) Limitations of behavioral models in explaining behavior.
(d) How and when do humans forage for information - curiosity vs. boredom.
The Choice Engineering Competition
Together with Yonatan Loewenstein, and in collaboration with Nature Communications, I organize the Choice Engineering Competition, an academic competition aimed at testing the efficiency of qualitative vs. quantitative models in shaping behavior. For additional details please see:
- Competition announcement and rational (here)
- Participate, access data, review the rules and more at the competition's website: tiny.cc/CEC2019
And some cool side projects
- eMD (ear mounted diagnostic) - A non-invasive device for self diagnosis of common childhood diseases. An entrepreneurial project incubated by Biodesign-Israel. As the engineering leader of the project, I have crafted the hardware, designed the app's UI and implemented the self-diagnosis algorithm (signal processing). See presentation for investors and executive summary. The project was patented by the Hebrew University's technology transfer company Yissum.
