Program

Dr. Liat Antwarg Friedman, with a Ph.D. in Information Systems Engineering, specializing in Explainable AI. A proven track record in leading research and applied machine learning projects—spanning fraud detection, NLP, and data quality improvement—I’ve worked with organizations such as eBay, Audi, Leumi and KBC Bank, both as a researcher and consultant. I bring a deep understanding of translating business needs into data-driven solutions.

Dr. Nataly Kuritz is an AI strategist, researcher, and innovation leader with a Ph.D. in Deep Learning for Quantum Chemistry. With over a decade of experience bridging academia and industry, she specializes in building trustworthy AI systems, designing explainable models, and guiding companies through GenAI transformation. Nataly is also a passionate educator and speaker, known for making complex AI concepts accessible and actionable.

Shir Chorev is the co-founder and CTO of Deepchecks, a startup for evaluation and continuous validation of AI-based applications. Previously, Shir worked at the Prime Minister’s Office and at Unit 8200, leading research in various Machine Learning and Cyber related problems. Shir has a B.Sc. in Physics from the Hebrew University, which she obtained as part of the Talpiot excellence program, and an M.Sc. in Electrical Engineering from Tel Aviv University. Shir was a featured honoree in the Forbes Europe 30 Under 30 list.

Serj Smorodinsky is a data science team lead with deep expertise in NLP, AI evaluation, and agentic workflows. He specializes in building intelligent systems combining Deep learning, LLMs, retrieval architectures, and interpretable rule-based models. Serj brings strong software engineering skills and a production-focused mindset, ensuring scalable, testable, and maintainable AI solutions. His approach bridges experimental research with real-world deployment, emphasizing reliability and continuous evaluation.

Dr. Tomer Gazit is a machine learning and AI researcher, manager, and consultant specializing in the medical domain. He helps organizations develop tailored data science solutions to clinical and operational challenges. He currently leads the Clinical Data Science team at Hello Heart, where he develops predictive models for heart-related diagnoses, integrating tabular data, time series and generative AI.

Previously, he led the Brain Informatics and Imaging Research Lab at Tel Aviv Sourasky Medical Center (Ichilov) where his work focused on time series and neuroimaging tools for neurological diagnosis and translational neuroscience.

Tomer holds a PhD in Neuroscience from Bar-Ilan University and a BSc in Mathematics and Psychology from the Hebrew University of Jerusalem.

Tomer is passionate about learning new domains and techniques, from building scalable data pipelines and algorithmic solutions for mapping and automotive apps to data modeling and analysis for financial risk assessment. As a self-learner with multidisciplinary R&D experience, he specialises at tackling hard problems in new domains and working on innovative engineering solutions for products at scale.

Yuval is a Developer Advocate at AI21 Labs, deeply involved in advancing the frontiers of Natural Language Processing.

He holds an MSc in Computer Science from the Weizmann Institute of Science, underscoring his firm grounding in the field. Prior to his role at AI21 Labs, he served as a Chip Designer at Amazon, honing his ability to deliver efficient, impactful solutions.

Yuval’s professional passion lies in the realm of generative AI. He actively contributes to making this intricate field more comprehensible and accessible to diverse audiences. With an engaging style and in-depth expertise, he navigates the complexities of AI, bringing clarity and insight to both peers and newcomers in the field.

Shuki Cohen is a Data Scientist at AI21 Labs, focusing on advanced NLP algorithms to develop writing and reading AI technologies. Prior to that, Shuki worked at SimilarWeb, applying machine learning and statistical algorithms to predict and estimate users behavior. Shuki holds an M.Sc. degree in IE majoring in Data Science from Tel Aviv University.

Segev Arbiv is a Data Scientist with expertise in the fields of Machine Learning and Computer Vision. He has a BSc. in Electrical Engineering from the Technion, and pursuing an MSc in these fields.

During the last few years, Segev is working at SimilarWeb in which he applies Deep Learning techniques and various statistical inference tools to overcome day to day challenges, such as NLP and estimations.

Prior to that, he was a researcher in the Image Processing\Computer Vision fields at AOL. Segev is passionate about everything related to numbers, lecturing and interacting with other passionate personas.

Dr. Omri Allouche heads the Research department at Gong.io, helping sales organizations improve their performance by providing actionable, data-driven insights using machine learning. He also teaches Applied Data Science at Bar Ilan University.

Omri holds a Ph.D. in Computational Ecology from the Hebrew University (cum laude). He won several academic awards and scholarships, including the Clore fund, and his research papers had been cited over 2,000 times.

Noa is a Data Scientist, currently working as Director of Data Science at Fido. Formerly worked as a researcher at NASA, at Diagnostic Robotics, Amazon, Elbit and IAI. Her main topics of specialisation and focus are NLP, healthcare and space.

Noa is an AI leader, social entrepreneur, lecturer and space enthusiast.

Volunteering as CTO at Tod’aers - combining AI and space research for sustainable technological developments.

Previously worked as Machine Learning Team Lead at Diagnostic Robotics, at Amazon, NASA, Elbit Systems and the Israeli Aerospace Industry.

Computer Science Master's degree, Bar-Ilan University (Magna Cum Laude), NLP thesis advised by Prof. Yoav Goldberg.

Electrical Engineering Bachelor's degree, Technion (Summa Cum Laude).

Lior has years of experience and works closely with companies to improve their product and operations using data science.

He co-founded Braincast to help product managers to make impactful decisions by explaining causality in meaningful events.

Lior holds BSc and MSc in software and information engineering department from Ben Gurion University, where he researched the appliance of deep learning, embedding, and adversarial learning in the fraud and cybersecurity domains.

Kosta holds a B.Sc and M.Sc. in Industrial Engineering and Management from Ben Gurion Universirty (Summa Cum Laude both). He won several academic awards and scholarships, and has published multiple research papers in academic journals, including best paper of 2018 in IEEE Transactions on Semiconductor Manufacturing. Kosta is also a Certified Scrum Master and Project Management Professional (PMP).

In his role as Product Analytics Lead at Waze, Kosta uses data to improve every aspect of Waze - one of most popular navigation apps in the world.

Before joining Waze, Kosta worked as a Data Scientist at Intel and as a Lecturer at Ben Gurion University.

Karin Brisker is a data scientist at Microsoft, with a background in NLP and machine learning. She began her journey developing AI-driven solutions for the healthcare domain, and now focuses on cybersecurity, building data-driven tools to enhance organizational protection. Karin holds an M.Sc. from the NLP Lab at Bar-Ilan University.

Dr. Inbar has just finished her PhD at the Hebrew University of Jerusalem, her research is focused on image processing and machine learning.

Inbar received her Ms.c in computer science from the Hebrew University and her Bs.c in applied mathematics from Bar-Ilan University, both graduated cum laude. She published several papers in computer vision top-tier conferences.

During her PhD studies, she was titled best teacher assistant.