Tal Kachman, Ph.D Email & Phone Number

United States

New Haven, Ct, Us

Nijmegen, Gelderland, Nl

Rhizome Works is an applied machine learning research and development company. We develop custom solutions and explore ambitious new ideas for a broad range of clients.

Greenwich, Connecticut, Us

Armonk, New York, Ny, Us

As a research staff member, I work and do research in a variety of topics, both theoretical and hands on. My main areas of research and expertise are in deep learning, machine learning, scientific computing, quantum computing and information theory. I work on the mathematical foundations of deep learning both from an optimization point of view and information theory perspective using tools from probability theory and statistical physics.I am particularly interested in one shot learning or learning with limited data, and in the Bayesian interpretation of stochastic backpropagation. In regular machine learning modeling, I work on non Markovian process and their relation to inference and statistical models. I am especially interested in more these kinds of models can be applied to the optimization of healthcare.As part of the “Mathematics of AI” group at IBM, I also work on variety of topics at the interface between classical and quantum computation and machine learning. These include approximation theories for quantum algorithms and their applications for machine learning as well as deep learning methods for quantum machine learning.

Armonk, New York, Ny, Us

As a postdoctoral researcher in the machine learning for healthcare and life sciences group, I developed novel machine learning and deep learning algorithms for text-based and image-based medical data, such as electronic healthcare records and mammography images using Tensorflow, mxnet, and PyTorch. I also developed new Bayesian methods for studying rare statistical events, and researched the effects of memory and non-Markovian processes on learning algorithms. Such as medical time series, and based cohort analysis.

Cambridge, Ma, Us

My Ph.D was centered about fundamental questions of nonlinear dynamics, nonequilibrium statistical physics and their interplay with learning and information theory.I had the great privilege to undertake my Ph.D with Jeremy England at the MIT Center for Physics of Living Systems (PLS).During my time at the PLS I looked at emergent computation in matter driven far from equilibrium. The majority of the work was done using advanced tools from nonequilibrium statistical mechanics, and their numerical implementation. For this purpose we Implemented a molecular dynamics toolbox in C/C++. The simulation was parallelized MPI/openMPI and deployed to a large computational clusters with distributed computing.

Cambridge, Ma, Us

San Francisco, Ca, Us

I had the great pleasure of being selected as an Insight Data Science fellow. During my time as a fellow, I developed a book categorization and classification method using deep learning. This was done by building a deep learning/machine learning pipeline composing of several steps I first used computer vision detection to parse camera photos of bookshelves, then exported them to a database for bookkeeping (pun intended) and built a recommender system. The project made me engage in hands on experience using SQL/deep learning platforms and computer vision processing tools.

Haifa, Il

As part of the nonlinear dynamics group in the technion I performed hand on research into numerical quantum dynamics. Specifically I had a large emphasis on noisy system and chaotic systems.Some of the main aspects of this project were:• Investigated asymptotic behaviour of nonlinear quantum systems and how they evolve over time, using time series analysis partial differential equation analysis with Matlab Mathematica • Developed novel numerically exact methods to deal with quantum and semi ergodic systems.• Build a numerical framework to deal with multi frequency stochastic systems and implemented a multiscale numerical analysis framework in Python and Julia

Haifa, Il

As a teaching assistant I led weekly recitations for a wide range of graduate and undergraduate courses Developed problem sets and administrated course website. Supervised a group of five other teaching assistants.The courses I taught were: Physics 3H(modern physics)Advanced Physical Chemistry Lab : Computational methodsStatistical ThermodynamicsAnalytical Methods 1 In Mechanical EngineeringAnalytical Methods 2 In Mechanical EngineeringClassical DynamicsFluid MechanicsCalculus 1

Haifa, Il

Conducted research projects such as aspects of dynamical systems in quantum optics experiments and numerical modeling of nano materials.

Doctor Of Philosophy (Ph.D.), Physics

Doctor Of Philosophy (Ph.D.), Theoretical And Mathematical Physics

Master Of Science (Msc), Mechanical Engineering

Bachelor Of Science (Bsc), Physics

Bachelor Of Science (Bsc), Chemistry