Current students
Tips for a research student
Tips for writing a paper
Former students
- Ori Ernst, Ph.D., Post-Doc, U of Montreal
- Avi Caciularu, Ph.D., research scientist, Google
- Tal Kiani, M.Sc., Algorithm Developer, Mobileye
- Shaya Goodman M.Sc., algorithm engineer, Ibex Medical Analytics
- Lior Frenkel, M.Sc., Speech & Audio Researcher, OriginAI
- Shira Kasten Serlin, M.Sc., algorithm developer, GE Healthcare
- David Sriker, M.Sc., Computer Vision Algorithm Engineer,
- Gal Cohen, M.Sc., Deep Learning Researcher,
- Eran Goldman, Ph.D., senior deep learning researcher, Shopic
- Shlomi Chazan, Ph.D., head of research speech and audio, OriginAI
- Yaniv Opochinsky, M.Sc., deep learning engineer, Medtronic
- Eytan Kats, M.Sc., algorithm developer, GE Healthcare
- Hagai Taitelbaum, M.Sc., machine learning , Google Research
- Idan Achituve, Ph.D. student
- Yair Dgani, M.Sc., computer vision, Innoviz Technologies
- Maayan Frid-Adar, M.Sc., Computer Vision Engineer, Meta Reality Labs
- Yaniv Shachor, M.Sc., algorithm developer, Trax Image Recognition
- Alan Joseph Bekker, Ph.D., Chief data scientist, voca.ai
- Ran Bakalo, M.Sc., IBM research labs
- Idit Diamant, Ph.D., computer vision researcher, Sony
- Oren Melamud, Ph.D., director of data science, Anyword
- Amir Alush, Ph.D., Chair of AI Advisory Board,
- Eyal Shnarch, Ph.D., NLP group, IBM research labs
- Jonathan Berant, Ph.D., Associate Professor, TAU
- Oded Kaminsky, M.Sc.
- Lev Faivishevsky, Ph.D., data scientist, Intel
- Sharon Nissimov, M.Sc., system engineer, Israel Aerospace Industries
- Roey Mechrez, Ph.D., CTO at BeyondMinds
- Avishay Friedman, M.Sc., algorithm developer, Intel
- Oren Freifeld, Ph.D., Associate Professor, BGU
- Jeremie Dreyfuss, M.Sc., data scientist, Intel
- Omer Rotem, M.Sc., algorithm engineer, Medasense Biometrics
- Moshe Taieb, M.Sc., software engineer, Zerto
- Amit Ruf, M.Sc., algorithm engineer, Medtronic
- Shiri Gordon, Ph.D., algorithm team lead, ViiSights
- Arnaldo Mayer, Ph.D., head of the computational imaging lab, Sheba
Information for prospective students
I am looking for highly qualified MSc and PhD students to work on machine learning topics (see my publications for some of my specific interests). While there are a variety of backgrounds that are appropriate for working in my lab, as strong a background in probability and statistics as possible is good, as is the ability to code real systems. Very high grades in general, and in my courses in particular, improve your chances. If you know something about machine learning already (from previous jobs etc), this can help. Many (although not all) things I like to do involve computer programming in Python and deep learning languages (e.g. Keras, PyTorch and TensorFlow). If you have good computer skills in these languages it is a plus.
If you are still interested: Please don't send me email in Hebrew - and do send me your CV, grade averages, a list of machine learning courses you have taken and relevant work experience.