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fink@huji.ac.il
Name Michael
Fink
Date
of birth
Nationality
Marital
Status Married to Idit and Father of Erel
Address Center for
Neural Computation
The
Telephone ++972
26584875 Lab / ++972 25632890 Home
Education
1996 Mathematical
studies in the Open University of Israel
1997 - 1999 B.Sc.
in Computer Science and Psychology at The
2000 - 2001 M.A.
studies in the
2003 Graduate
studies at the California Institute of Technology (CalTech),
supervised by Prof. Pietro Perona.
2002 - 2004 Ph.D.
studies in the
Professional Experience
1993 - 1996 Military
Intelligence,
1997 - 1999 Research
Assistant and Programmer in the Electrophysiology Laboratory at The
1998 Research
project at BioMediCom Ltd. implementing Support
Vector Machines for image segmentation enabling 3D ultrasound imagery
1999 fMRI Research Assistant to Prof. Dr. Axel Mecklinger at the Max Planck Institute for
Neuropsychological Research,
2000 Algorithmic consultant, Adante LTD, Israel. Presymptomatic diagnosis of Alzheimer disease using machine
learning tools on immunological response profiles.
2001 ZUMO
Ltd. developing an adaptive marketing platform based on automated learning of
consumer preferences and propagating product recommendations in peer to peer
networks (P2P)
Teaching Experience
2001-2003 TA
Introduction to Information Processing and Machine Learning
2003 Mentor
in the CalTech Freshman Summer Institute (FSI)
project. Leading an undergraduate research project aimed at real time
Multiclass Object Classification.
2004 TA
Human Vision a Computational Approach
2004 TA
Computation and Cognition
Grants, Awards and Scholarships
1997 Full
tuition merit based scholarship
1998 ‘Flower’
Project Scholarship for guiding challenged school students
1999 Max
Planck Institute Stipend
2000 - 2002 Interdisciplinary
Center for Neural Computation full scholarship and stipend
2002 - 2004 Young
Scientist Research Grant from the Israeli Foundation Trustees
2003 - 2004 Horowitz
Foundation scholarship for outstanding Ph.D. students
Fields of Interest
As a student in the Center for Neural Computation my
research focuses on examining methods for learning hierarchical multiclass
classification tasks in humans and machines. My first stage of doctoral
research emphasized utilizing cognitive and brain imaging techniques (mostly fMRI and EEG) to examine the internal representations and
methods humans apply when confronted with multiclass learning tasks in novel
environments. Mechanisms like contextual inference and learning to learn
processes are often deployed by human subjects in multiclass perceptual
problems but are rarely incorporated in machine learning and computer vision
approaches. I therefore devote my second doctoral stage to attempt and
implement human inspired techniques (like visual context) for multiclass
classification. The domain of machine learning and computational modeling
offers new insights on the mechanisms and computations characterizing the human
perceptual system. With this the two disciplines: brain research and machine
learning constantly interact and mutually enrich each other. I believe that the
theoretical and applicative machine learning topics provided at MLSS will
provide a deeper and more general perspective on these interactions. In
addition I look forward meeting other young researchers with similar interests
to my own, possibly leading to future collaboration.
Hobbies Scuba-diving, Sculpture, Trekking (