Tal Barami

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+972-52-5242728

Ph.D. student in the department of computer science at Ben Gurion University of the Negev. Researcher, interested in solving graphics and vision problems with algorithms and data.

Coding Reading Traveling Sports Gaming

Education

Computer Science, Ph.D.

Ben-Gurion University of the Negev

Advisor: Dr. Omri Azencot

2020 — Present
Saliency Maps Behavior Analysis Facial Expressions Analysis Treatment Effect Estimation Sequential Data Disentanglement Representation Learning

Computer Science, M.Sc.

Ben-Gurion University of the Negev

Advisor: Prof. Andrei Sharf

2018 — 2020
Artificial Intelligence Deep Learning Computer Vision Video Processing Object Detection Video Games Design Action Recognition

Software Engineering, B.E.

Ben-Gurion University of the Negev

2014 — 2018
Computer Graphics Software Design Virtual Reality Data Science

Publications & Projects:

Automated identification and quantification of stereotypical movements from video recordings of children with ASD

Tal Barami, Liora Manelis-Baram, Hadas Kaiser, Michal Ilan, Aviv Slobodkin, Ofri Hadashi, Dor Hadad, Danel Waissengreen, Tanya Nitzan, Idan Menashe, Analya Michaelovsky, Michal Begin, Ditza A. Zachor, Yair Sadaka, Judah Koler, Dikla Zagdon, Gal Meiri, Omri Azencot, Andrei Sharf, Ilan Dinstein

This study demonstrates the utility of ASDMotion for objective and direct quantification of SMM severity in children with ASD, offering a new freely available, open-source algorithm and dataset that enable transformative basic and clinical ASD research.

Senseperience: Interactive Sensory Simulation

Tal Barami, Liza Fridman, Carmel Lederer, Boaz Krysler

Sensperience is a virtual reality software application which allows the user to experience a different view of the world. We’ve created a holistic custom experience that can be fully simulated and controlled by the developer.

Professional Experience

Researcher

Playtika

2021 — 2022: Playtika Research Group: Pursued the field of feature disentanglement in generative methods for 3D modeling. Developed a segmentation-based method for 3D pose estimation.

2019 — 2021: Data Scientist: Developed models for uplift modeling and churn predictions, as well as internal tools for the automation of research phases such as data acquisition, modeling, analysis, and evaluation.

Python Research Data Science 3D Modeling GANs Pose Estimation Uplift Modeling Churn Prediction

Software Engineer

Mentor Graphics

2016 — 2018: Development and maintenance of features for some of the company's top products. Both handle production-line management for large-scale factories around the globe.

Java Spring C# .NET R&D

Teaching