Alexander Berenbeim, Ph.D. Email & Phone Number

New York, Ny, Us

West Point, New York, United States

I am currently an affiliated Artificial Intelligence and Machine Learning Researcher with the Army Cyber Institute at West Point through my AI/ML Researcher position at BluePath Labs. My research presently involves designing and implementing assured and explainable neurosymbolic learning & reasoning systems.

Built an interactive toolkit to query for macro-economic and labor statistics from Bureau of Labor Statistics, acquire underlying data sets, and prepare for further analysis.Lead AI researcher, in charge of training models for forecasting commodity price and inflation rates;Hired as management and technical consultant by Bizbumps Inc (later Bizbumps LLC), where I:- Was responsible for establishing Bizbumps' operations and developing products for clients;- Collaborated with the other co-founders and lawyers to structure Governance and Sales processes while relating technical, legal, and business concepts to those with limited experience;- Leveraged understanding of corporate governance and tax structures to author the company's articles of incorporation and operating agreement;- Built deep learning NLP algorithms using PyTorch and nltk to conduct sentiment analysis in multiple languages;- Designed web-crawler to gather CSV and JSON data and automatically update internal databases, in the process establishing the company's core market intelligence databases using PostgreSQL;- Authored letters of intent and acted as project manager for software projects for client, Liquid Outdoor;- served as Chief Software Architect and designer of a learning model to automate business process, developed the data structures deployed, and programmed the GUI for software product for client, Liquid Outdoor.

Below are descriptions of my responsibilities and the material I covered while working as a graduate teaching assistant working a 20 hour contract.MCS471 (Numerical Analysis) - I wrote the rubric for and graded all computer assignments written in Matlab and Octave. I covered the following topics: numerical analysis; floating point arithmetic; computational linear algebra; iterative solutions to nonlinear equations; interpolation; numerical integration; numerical solution of ODEs.MCS 401 (Computer Algorithms I) - I wrote the rubric for and graded assignments covering the following material: Design and analysis of computer algorithms; Divide-and-conquer; dynamic programming; greedy method; backtracking; Algorithms for sorting, searching; graph computations; pattern matching; NP-complete problems. MATH 313 (Real Analysis I) - I wrote rubrics for and graded assignments covering the following material: The real number system; limits; continuous functions, differentiability; the Riemann integral.MATH 310 (Applied Linear Algebra) - I wrote some course rubrics and evaluated assignments, quizzes & exams covering the following material: Matrices, row reduction algorithm, vector spaces, LU-decomposition, orthogonality, Gram-Schmidt process, determinants, inner products, eigenvalue problems, applications to differential equations and Markov processes.MATH 210 (Calculus III)- I delivered biweekly tutorial lectures covering the following material: Vectors in space, functions of several variables, partial differential and optimization, multiple integrals, vector fields, Green's Theorem, Stokes' Theorem.MATH 125 (Elementary Linear Algebra): tutorial lectures teaching linear algebra material (see MATH 310 material) to business majors.

While I was a full time graduate student, I was a teaching assistant for the following courses:Math 215: Linear Algebra For EngineeringMath 137: Calculus I for Honours MathPMATH 330: Introduction to Mathematical LogicMATH 648: Foundations of Calculus IIMATH 106: Applied Linear Algebra 1MATH 115: Linear Algebra (Engineering)MATH 127: Calculus 1 for the Sciences

I was involved in several projects with different completion dates that made extensive use of Data Mining, Exploratory Factor Analysis, Structural Equation Modeling, and Stochastic Optimization. Additionally, I consulted on data gathering with the aim of improving business intelligence.I coded mainly in R, and wrote customized packages to handle non-normally distributed data.

WI acquired and developed intellectual property. We used our content library to make films, to host live events, and to create installations for spaces.I also gathered box office information to run multivariate regression models, which were then used as the basis for simulations to forecast project cash flows.

Greater New York City Area

New York City, New York

Developed dynamic pricing models for online advertisements based on stochastic demand ( ad campaigns) and supply (user minutes) with a team of 7 Columbia University Masters Students for our Operations Consulting class. We ran Simulations of the pricing models in Matlab, highlighting the evolution of prices as well as the demand/supply balance. I also developed a method that would allow Grantoo to infer advertiser price elasticities, as part of implementing a price response function (to model the dependence between advised price of the campaign and the demand).

New York City, New York

As part of a team of 7 masters students for the Operations Consulting class, I took part in developing a two phased pricing model for Escrow Rights based on data from a project in Bogota, Colombia. The model has two phases, one evaluating the organic price of the asset based on a probabilistic discounted cash flow, and the second phase implementing a feedback pricing model with the aim of maximizing revenue.

Manhattan, New York City

I reported directly to the Richard Paul Richardson Professor of Law, Jeffrey Gordon. As part of my job, I am gathering data and running regressions to test the Shareholder Wealth Maximization Hypothesis. This requires preparing 30 years worth of panel and cross-sectional data, which entails computing EBIT, NI, Leverage, the value of options portfolios, and economic rents. I designed and ran regressions in R.

I worked within the legal department under Anti-piracy director Steven Rosenthal. I gathered data and ran multivariate probit models to determine the effectiveness of various anti-piracy actions.

I proof-read papers and conducted research on money market mutual funds for a book on Shadow Banking.

Ba, Mathematics, Economics

Activities and Societies: WKCRCompleted a double major. Made two films. Founded a company.

Msc, Management Science And Engineering

Activities and Societies: WKCR

Doctor Of Philosophy (Ph.D.), Mathematics And Computer Science

Activities and Societies: Mathematics for the Real World Phi Kappa Phi

Master'S Degree, Mathematics