Research and Education: Computer Science, Logic, Verification and Model Checking, Complexity Theory, Algorithms, Graph Theory and Combinatorics, Computer Algebra, Geometry and Topology, Robotics and Control Theory (Linear/Nonlinear, Holonomic/Nonholonomic), Bioinformatics, Genetics, Evolution, Systems Biology, Biotechnology, Translational Medicine, Cancer, Immune Systems, Therapy Design, Data Science, Statistical and Inductive Inference, Causality, Social Networks, Signaling Games and Deception, Privacy and Information Asymmetry, Costly Signaling, Game Theory and Distributed Systems, Trust, Finance, Market Microstructures, ICO/STO, Crypto currencies and Smart Contracts, Cyber Security, Internet, IoT, IoHT, IoMT, Entrepreneurship, ...

Technology and innovation. Planning a sabbatical starting in 2025.

Life science toolsthat Identify Genomic Variations

FinTech & AI. Prospero rewards its users for sharing their stock picks. Its AI uses the data to learn the best financial models.

AI, ML and Data Science in Drug Discovery, Preventive Medicine; Ageing & Age-Related Diseases

Singing AI. For neurological applications.

Quantitative Biology

Endless Frontier Labs, founded at New York University-Stern School of Business, guide scientific and technical founders through a performance-driven mentoring process. Participating startups receive access to mentorship, venture capital, science expertise, and execution support. The program is completely free and does not take any equity in startups.Endless Frontier Labs is open to early-stage science and technology-based startups. No NYU affiliation or relocation to NYC required. The program is ideal for university-affiliated founders at the pre-seed or seed stage. EFL is complementary to and operates in partnership with other programs and centers for entrepreneurship at NYU.

CDL-New York City aims to bring together, in a nine-month program, three groups: highly successful serial entrepreneurs and angel investors; founders of pre-seed stage startups in science and technology; and Stern faculty and MBA students. Startups selected for the program benefit from opportunities to raise capital and receive guidance from the Lab’s Chief Scientists – world-renowned NYU faculty drawn from science and technology disciplines, including researchers who’ve successfully commercialized their own companies. Startups also receive business development support from Stern faculty and MBA students through an affiliated experiential-based CDL course.

Signaling game applied to covid virology, immunology, neuroscience, security and technology. Primarily, Project Covfefe (Cure Covid for ever and for everyone).

Artificial intelligence in Science and Robotics Research; See https://www.worldscientific.com/page/ijairr/editorial-board

Translating genomic research into the development of new treatments, therapies and therapeutics against human disease.

The program focuses on both cancer biology and mathematical and statistical methods used in analyzing the datasets currently being produced by several laboratories around the world.

Human Genetics (System biology of HLA, KIR, etc in innate NK and adaptive immunity)

Clinical Data Science based on the novel/proprietary Nanomapping technology - improving speed, accuracy and cost over earlier optical mapping. MRTechnology focuses on Genomics, Variant/Base calling, Structural Variants, Haplotypes, Compression, Hardware Acceleration, Security, Mapping and Sequencing.

Elucidating the causal genetic features at the root of disease in order to bring about curative therapeutics and swift diagnostics for everyone.

AI/ML.

This is an NCI funded multidisciplinary, multi-institutional (Columbia, Courant, Stanford, Princeton, etc.) research center that supports research combining mathematical and experimental techniques for the study of cancer.

Teaching Algorithms and Data Structures for Bioinformatics. As director, developed and directed a new online program focusing on Bioinformatics: Courses on Algorithms, Biotechnology, Statistics, Problem Solving/Prototyping, Machine Learning, Biostatistics, Genomics, Transcriptomics/Proteomics, Population Genetics, Translational Genetics, etc.

Clinical-stage drug discovery and development company with a unique, broadly applicable, predictive discovery infrastructure. Advancing early-stage immuno-oncology programs. Harnessing the immune system to eradicate cancer.

http://futurelabs.engineering.nyu.edu/ainexuslab/Member of a network of mentors that include current CEOs of top AI companies, AI domain experts, corporate and investment leaders, and NYU and NYC faculty experts in AI. Mentors are brought in to fulfill specific team needs throughout the program.

Biotechnology (Base-calling, Sequencing, Assembly, Haplotypes, Transcriptomic Profiling), NanoTechnology, Game Theory, Signaling Games, Origin of Life, Cancer Systems Biology, Hybrid Systems, Therapy Design, Genomics, Model Building and Model Checking, Propositional Temporal Logic, Supervisory Controller, Ecology, Economics and Politics.

Until August 2019. Oversee and provide faculty review of the management, improvement and growth of online learning at NYU's Tandon School of Engineering.

Laboratory for Entrepreneurship in Data Sciences is a research group focused on rigorously studying algorithmic, mathematical, engineering, and societal issues that arise in many Internet applications deluged by massive amounts of data. The laboratory builds on research from machine learning, game theory, evolutionary biology, logic and statistical inference from NYU/Courant Institute, but attracts members from all fields and institutions facing many of these shared challenges: Silicon Alley, Finance, Advertising and Ad Technology, Philanthropy, Biomedicine and Engineering. Somewhat immodestly (and with apologies to Albert Arnold “Al” Gore), the laboratory aims to reinvent the Internet of the future.

Causal Data Science, Modal Logic, Empirical Bayes, Suppes Bayes Causal Network (SBCN), stress testing, stratification, agony.

Data Science in Security; Cyber Security, Procurement/Acquisition, Moral Hazard, GATI...

Design and verification of mathematical models for evaluation of online advertisements;Causality and Signaling Games in Online Advertising.

Technology at the interface of Healthcare and AI. Medical Imaging.

Data Science in Advertising and Marketing

Data Science in Finance

Data Science for AI (Artificial Intelligence): Chatbots.

Data Science in Educations and Health; Personal Private Data Market

Single-Molecule Whole Genome Mapping, Microbiomics, Microbial Genomics, Pathogen Analysis.

This research aimed to gain fundamental new insights into the emergent behavior of complex biological and embedded systems through the use of revolutionary, highly scalable and fully automated modeling and model checking techniques.

P01 (Targets to Therapeutics in Pancreatic Cancer).

SMASH (Single Molecule Approaches to Sequencing by Hybridization)

Planning with Large Agent-Networks against Catastrophes (PLAN C)... It produced an innovative tool for emergency managers, urban planners and public health officials to prepare and evaluate Pareto-optimal plans to respond to urban catastrophic situations. The project was created in the wake of 9-11.http://www.nyu.edu/ccpr/laser/plancinfo.html

Haplotype Sequencing via Single Molecule Hybridization ($1000 Genome Sequencing)

Joint NSF project with CMU, MIT, U. Pitt, NRC (Canada), Mathworks, & Medstory.

Social Networks and Recommender Systems

Its mission was to support R&D in both DNA computing and computational modeling of cellular systems of interest to the US Department of Defense.

Computational Biology, Onco-genomics.

Mathematical Finance, Market Models, Statistical Arbitrage.

Grasping, Dexterous Manipulation, Workholding, Mechanism Design, Motion Planning, Control Theory, Combinatorial Geometry, Algebraic Geometry, Differential Geometry (applied to robotics), Educational Robotics, Four-Finger Manipulator, Utah-MIT Hand, Mobile Robots and Manipulation Planning. Jointly with JT Schwartz & M Sharir.

Quantitative Finance.

Theoretical Computer Science (P-NP question, Computational Complexity Theory, Graph Algorithms, Temporal Logic and Hardware Verification) and Robotics (Mobile Robots). Supervised by Merrick Furst, Hans Moravec, Ed Clarke, Bob Tarjan and Ravi Kannan.

PQCC (Production Quality Compiler-Compiler), Semantics Analysis (Attributed Grammar Systems), Programming Languages: C, Ada, GNAL, Bliss, etc. Supervised by Bill Wulf, Anita Jones, Guy Steele, et al.

Mobile Robot controllers. Supervised by Hans Moravec et al.

Designed and built a digital asynchronous communication system.