Eli Y. Wilner, PH.D

Lead a machine learning team applying cutting-edge technology integrating

between my academic research experience and data science position in order to solve real-world problems.

65 Lexington Ave

Cresskill, NJ 07626

510-***-****

adhkx6@r.postjobfree.com

EXPERIENCE

QuickFrame, New York, NY — Staff software Engineer ML Nov 2019 - PRESENT

QuickFrame is an intelligent Video-as-a-Service platform that solves two of the largest problems around video—the slow, expensive production process and the lack of clarity around what drives performance. I am currently leading ML projects at QuickFrame such as:

- Object detection and segmentation in video/image

- Speech to text

- Face clustering

- NLP for understanding text contexts

- Human activity recognition

- Image captioning

Turbonomic Inc., New York, NY — Senior Data Scientist ML Feb 2018 - Nov 2019

Turbonomic autonomic platform enables heterogeneous environments to self-manage to assure the performance of any application in any cloud. As Part of the ML team at Turbonomic I’ve designed Bayesian-GRU network analyzing time series data for optimizing and scaling recommendation for cloud templates as well as statistical analysis of metrics behavior.

Matrics, New York, NY — Data Scientist ML & AI

Oct 2017 - Jan 2018

Matrics couples deep expertise in markets and technology to create cloud-native, Blockchain-driven, highly scalable software systems. Matrics applies deep learning and Artificial Intelligence to optimize the investment management process.

SKILLS

Computer Vision.

Natural Language Processing.

Clustering & Classifications.

ML Algorithm.

Statistical Modelings.

Numerical Analysis.

Data Visualization.

Data Analysis.

Research.

TECHNICAL SKILLS

TOOLS:

Python, AWS, Kotlin, Java.

Linux.

Packages:

Tensorflow, Keras,

Scikit-learn, NLTK, Numpy,

Pandas, Seaborn, Matplotlib,

Jupyter.

Machine Learning:

Object Detection.

Entity and Sentiment

Analysis.

Time Series Forecasting.

Linear/Logistic Regression.

Clustering Models.

Statistical Analysis.

AWARDS

- Nominee for the Israel

Physics Society (IPS) award

for excellent theoretical

Working as part of the quant team, I was developing various machine learning and optimization tools for market risks. Including loan default status classification, Quasi-Newton methods, Particle Swarm Optimizations, Graph theory for network problems and spectral clustering.

Department Of Physics, Columbia University, New York, NY

- Researcher

Sep 2015 - Oct 2017

Building a highly efficient numerically exact neural network solver based on matrix-product-state (MPS) theory. This was applied to an infinite system of many-body physics which included quantum statistical mechanics of different degrees of freedom. I was also Leading and conducting a research team and establishing a new theory of high-temperature superconductivity.

EDUCATION

Tel Aviv University, Tel Aviv, Israel — PH.D in theoretical Condensed Matter Physics.

Oct 2011 - Aug 2015

Thesis Title: Non-Markovian effects in non-equilibrium quantum dynamics of the Holstein model.

Supervisor: Prof. Eran Rabani (UC Berkeley/Tel-Aviv) Tel Aviv University, Tel Aviv, Israel — M.Sc in Physics Aug 2010 - Aug 2011

Transferred to PH.D direct track after one year after graduating Cum Laude

The Hebrew University, Jerusalem, Israel — B.Sc in Physics Oct 2007 - Aug 2010

Licenses & certifications

● Natural Language Processing with Classification and Vector Spaces - Coursera

● Convolutional Neural Networks in TensorFlow - Coursera Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning - Coursera.

● TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning - Coursera.

graduate student.

- Prof. Jehuda.M.Eisenberg

award for excellent Ph.D

student in research

Awarded to a single student from

the department of physics each

year.

- The Prof. Rahamimoff travel

grants program for excellent

young scientists - United

States - Israel Bi-national

Science Foundation (BSF).

Awarded to 16 graduate

students from exact sciences

discipline in Israel each year.

- The Center for Nanoscience

and Nanotechnology

Scholarship for excellent

graduate students, Tel Aviv

University.

Awarded to 5/100 graduate

students from

multidisciplinary in medical,

life, engineer and exact

sciences by the center each

year.

- Rector's `` List of 100 ``

excellent junior lecturers in

Tel-Aviv university.

- 3 times Cohen Ann Morris

excellence in teaching award,

Department of Physics.

- Julian B. Venezky special

honour-student fellowship

LANGUAGES

English, Hebrew

● Convolutional Neural Networks - Coursera

● Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization - Coursera

● Neural Networks and Deep Learning - Coursera

● Applied Machine Learning in Python - Coursera

Publications

● E.Y.Wilner, Dante Kennes, David Reichman and Andrew Millis, “Phonons Induce Dis-order in Translation Invariant System After Quench. ” Submitted (2017).

● Dante Kennes,E.Y.Wilner, David Reichman and Andrew Millis, “Non-equilibrium Optical Conductivity: General Theory and Application to Transient Phases . ”

Submitted(2017).

● Dante Kennes*,E.Y.Wilner*, David Reichman and Andrew Millis, “Transient supercon-ductivity from electronic squeezing of optically pumped phonons . ” Nature Physics 13,479-483 (2016).

* These two authors contributed equally.

● Emanuele G. Dalla Torre, Yulia Shchadilova,E.Y.Wilner, Mikhail D. Lukin, Eugene Demler, “Steady state Dicke transitions with incoherent atoms. ” Physics Review A94, 061802(2016).

● Lyran Kidon,E.Y.Wilner,and E.Rabani, “Exact Calculation of the Time Convolutionless Master Equation Generator: Application to the Nonequilibrium Resonant Level Model.” J. Chem. Phys.143,234110 (2015).

● E.Y.Wilner,H.Wang, M.Thoss, and E.Rabani, “Sub-Ohmic to super-Ohmic crossover behavior in molecular tunneling junctions with electron-phonon interactions”. Physics Review B92, 195143 (2015).

● E.Y.Wilner,H.Wang, M.Thoss, and E.Rabani, “Phonon dynamics in correlated quantum systems driven away from equilibrium”. Physics Review B90, 115145 (2014).

● E.Y.Wilner,H.Wang, M.Thoss, and E.Rabani,

“Nonequilibrium quantum systems withelectron-phonon interactions: Transient dynamics and approach to steady state”. PhysicsReview B 89, 205129 (2014).

● B.Li,E.Y.Wilner, M.Thoss,E.Rabani and W.H. Miller,”A Quasi-Classical Approach toInelastic Tunneling

Spectroscopy: The Frank-Condon Blockade”, J. Chem. Phys.140,104110 (2014).

● G.Cohen,E.Y.Wilnerand E.Rabani, ”Memory Methods for Nonequilibrium QuantumImpurity Models: Generalized Projected Dynamics For Non-System Observables”.

NewJournal of Physics 15, 073018 (2013).

● E.Y.Wilner, H.Wang, G.Cohen, M.Thoss, and E.Rabani,

“Multiple steady-states in nonequilibrium systems with electron-phonon interactions ”. Physics Review B88, 045137 (2013).

● E.Y.Wilner, T.J. Levy and E.Rabani, “Analytic continuation of electrical conductivity: the resonant level model”, J. Chem. Phys.137, 214107 (2012).

Other Interests

● Chess. Member of The Marshall Chess Club in New-York City

● Playing Piano, Member of The Arthur Rubinstein Society.

● Logical Puzzles.

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