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Morit is a data scientist with expertise in network science. Morit started her data journey as a data analyst in Unit 8200. She completed a BA in Cognitive Science and Psychology at the Hebrew University and worked as a data scientist for two startups with network data in their core technology. A year ago, she was halfway through her MSc research on cyber-attack detection using GNN at Ben-Gurion University when her future partner asked to consult her on what could be done with her network data. Soon, Morit joined her as CTO & cofounder of “Ellie Habotit” where they help users to find love using their friend networks
Morit is a data scientist with expertise in network science. Morit started her data journey as a data analyst in Unit 8200. She completed a BA in Cognitive Science and Psychology at the Hebrew University and worked as a data scientist for two startups with network data in their core technology. A year ago, she was halfway through her MSc research on cyber-attack detection using GNN at Ben-Gurion University when her future partner asked to consult her on what could be done with her network data. Soon, Morit joined her as CTO & cofounder of “Ellie Habotit” where they help users to find love using their friend networks.
Ellie is a bot that helps you find love through your social network. As cofounder and CTO, it is part of my job to develop innovative algorithms that find non-trivial matches for our users.
In this talk, I will share how I constructed these “networks of love” and give two examples of successful methods that captured valuable network characteristics and enabled us to find meaningful matches.
One example is a classic network analysis algorithm with a tweak inspired by the “dropout” method from neural networks, and the other is a graph neural network inspired by NLP techniques.
Join me for this talk if you want to learn how I used a multi-disciplinary approach to help people find love
Ellie is a bot that helps you find love through your social network. As cofounder and CTO, it is part of my job to develop innovative algorithms that find non-trivial matches for our users.
In this talk, I will share how I constructed these “networks of love” and give two examples of successful methods that captured valuable network characteristics and enabled us to find meaningful matches.
One example is a classic network analysis algorithm with a tweak inspired by the “dropout” method from neural networks, and the other is a graph neural network inspired by NLP techniques.
Join me for this talk if you want to learn how I used a multi-disciplinary approach to help people find love
| 8:45 | Reception |
|---|---|
| 9:30 | Opening words by WiDS TLV ambassador Nitzan Gado and by Lily Ben Ami, CEO of the Michal Sela Forum |
| 9:50 | Prof. Bracha Shapira – Data Challenges in Recommender Systems Research: Insights from Bundle Recommendation |
| 10:20 | Juan Liu – Accounting Automation: Making Accounting Easier So That People Can Forget About It |
| 10:50 | Break |
| 11:00 | Lightning talks |
| 12:20 | Lunch & poster session |
|---|---|
| 13:20 | Roundtable session & poster session |
| 14:05 | Roundtable closure |
| 14:20 | Break |
| 14:30 | Merav Mofaz – “Every Breath You Take and Every Move You Make…I'll Be Watching You:” The Sensitive Side of Smartwatches |
| 14:50 | Reut Yaniv – Ad Serving in the Online Geo Space Along Routes |
| 15:10 | Rachel Wities - It’s Not Just the Doctor’s Handwriting: Challenges and Opportunities in Healthcare NLP |
| 15:30 | Closing remarks |
| 15:40 | End |
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