Larry Rafsky Email and Phone Number
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My goal is to reduce advanced theory (in statistics, machine learning, algorithm analysis, and quantitative finance) to practice, producing useful and commercially valuable information services and models. Over the last 35 years, teams under my direction have created FAME, Tradeline Plus, NewsAgent, Cogent, NewsTrade, Newscast, NewsEdge v8, Metabot, TIGER, and SyndicationSuite, all of which were marketplace successes, generating significant revenue from marquee clients.I have published in Econometrica, Management Science, The Annals of Statistics, the Journal of the American Statistical Association, and the Journal of the Association for Information Science and Technology. These papers address decision theory, portfolio theory, non-parametric statistical tests, multivariate graphics, and text processing (my scholar h-index is 15, my g-index is 37, and my Erdos number is 3). I hold eleven U.S. patents on real-time content distribution, content selection optimization methods, unsupervised machine learning (clustering) and tweet-stream analysis.My colleagues and I have developed of a number of algorithms and processes considered standards in their fields, including the Friedman-Rafsky multivariate two-sample test, a widely-used (and now classic) statistical procedure. The graphical display associated with this test won the JASA Theory & Methods Award. We have also built statistically-driven text mining equity trading models that make money.Specialties: real-time programming; text search and taxonomic categorization; classification, natural language processing, decision trees and machine learning; network and data delivery optimization; XML; digital content management; cryptography; c programming; multivariate data analysis; Bayes estimates; time series analysis and forecasting; financial analysis and portfolio theory; sports metrics; military operations research; algorithm development and computational complexity.
Dd-Aim
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- dd-aim.com
- Employees:
- 6
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Dd-AimJupiter, Fl, Us -
Senior Data Scientist, Media Solutions, Moody'SMoody'S Jun 2022 - PresentNew York, Ny, UsI work with a talented team of developers, subject-matter experts, and leading industry consultants, applying deep learning methods to boost productivity in the creation of proprietary financial data and business news products. We specialize in reducing the friction too often encountered in human-machine interaction. We also accelerate the normalization and curation of data from public sources, increasing the separation of signal-from-noise, helping Moody's add considerable value to its information-based services. -
AssociateMoody'S Oct 2020 - Jul 2022New York, Ny, UsAt Moody's Analytics I initially worked on a variety of AI/ML/NLP algorithms, and I also assisted in the integration of Acquire Media into Moody's. -
Chief Digital Officer (Cdo)Esg-Rate Jun 2020 - PresentAt ESG-RATE (formerly my4 corp) I direct the team's use of both statistical models and machine learning techniques to mine and analyze the large datasets we use to score public companies on ESG and other criteria, re-weighted and personalized for each user based on the user's expressed social concerns. This includes auto-categorization via topic modeling using a specialized social concern taxonomy. I also oversee real-time content filtering, and human-editor preparation of training data. In addition, I am doing research focusing on novel methods for combining user and expert subjective ratings, influenced by user-specified interest profiles. These methods go substantially beyond the typical weighted averages, expert-opinion pooling, and optimization procedures that represent the current state-of-the-art in multi-criteria decision making; they leverage psychometric insights in to scale-choice responses and confirmation bias, as well as robust (outlier-resistant) statistical methods that work for small samples (most don't). This work has been granted a U.S. Patent.
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Chief Ai/Ml Scientist -- Acquire Media ResearchNaviga (New Name For Newscycle) May 2019 - Oct 2020Continuing my Acquire Media work (see two previous entries). Current areas of research include ensemble classification and fact extraction (multi-sensor event and entity detection via data fusion), automated QA methods for NER, and top news/fake news identification via unsupervised machine learning (focusing on real-time big data clustering).
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Chief ScientistAcquire Media / Newscycle -- A Vista Equity Partners Portfolio Company Jan 2018 - May 2019Finding applications for AI, especially ML supported by NLP, to help news publishers and news consumers, focusing on content management (including newswire/photo service/social media/UGC ingestion as well as delivery, distribution, and syndication).
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CeoAcquire Media / Newsedge Jan 2001 - Dec 2017Joined three other founders, and four motivated staffers, to grow Acquire Media from 8 employees to 75. Acquired Newsedge from Thomson Reuters to cement a top-3 industry position in financial news syndication. Developed, in addition to a new version of Newsedge, a real-time news trading application, NewsTrade / v8, and a newsfeed/photofeed content management application, Syndication Suite. Pioneered new methods in financial-news-specific topic modeling and entity extraction, using AI/ML. Also pioneered new methods for internet delivery of real-time news, press releases, and ratings, conforming to SEC Reg FD. Granted 10 U.S. Patents. Lead a successful exit, selling to Vista Equity Partners.
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Co-FounderGari Software / Wavephore Labs -- Gari Became A Subsidiary Of Idd / Dow Jones In 1997 Mar 1985 - Jan 2001Real-time financial news syndication and analysis. Developed XMLNews, a widely-used fusion of NITF for tagged text and RDF for metadata. Integrated news with stock prices to automate a number of trading applications, and built current-awareness models, reports, and graphics for investment banking. As a Dow Jones subsidiary, built the Telerate Interactive News Search, and contributed to the first release of both Dow Vision and the Wall St. Journal Interactive Edition.
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FounderGemnet / Fame Software - Subsidiary Of Citicorp (Starting 1984) 1981 - 1985Directed the design and coding of FAME, a pioneering 4GL for time series analysis. Innovations include true business day, weekly, bi-weekly, semi-monthly, and 4-4-5 data, with exact business-day calculations, holiday calendars, and spline-based interpolation for frequency-shifting conversion of irregular calendar-based data while maintaining correct stock/flow totals. Also the first commercial implementation of exact-maximum-likelihood ARIMA models, and precise control of influence-function choice for robust regression.
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Director, Business AnalysisAdp Network Services 1979 - 1981Roseland, New Jersey, UsTime Series and Econometric Forecasting. Founded Econolyst, a joint venture between ADP and Townsend-Greenspan. Developed computing methods to automate and support Alan Greenspan's macroeconomic data collection, forecasting models, graphics, and newsletters, as well as on-line delivery of these products to U.S. corporations. -
International Finance - 2Nd VpChase 1978 - 1979New York, Ny, UsBuilt quick-turnaround financial and statistical models to support bankers worldwide. Did global tax optimization via nonlinear programming, automation break-even studies via logistic regression, budget-vs-actual and forecast accuracy studies via time series methods, and especially loan-spread profitability studies via LIBOR trajectory simulations. -
Member Of Technical StaffBell Labs 1974 - 1978Applied Statistics Research (Department 17 in Area 10). Focused on Isotonic Regression, Ridge Regression, Multivariate 2-Sample Tests. Also worked with the original CART team.
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Staff Member -- Military Operastions ResearchAuerbach Associates (And Then Spin-Off: Analytics, Inc.) 1966 - 1974Under sponsorship from Naval Air Development Center, and Office of Naval Research, did work on ASW (OP95C) tactics via simulation studies, including contributing algorithms to APSUB, APSURF, and APAIR. Became an expert on P3C Orion flight path optimization for reconnaissance work. Modeled SLIR, FLIR, radar and photo results, including PI error studies. Also worked on Project Annie Oakley ("Annie get your gun"), precision localization of enemy artillery by nonlinear modeling of sound propagation from projectile firings.
Larry Rafsky Skills
Larry Rafsky Education Details
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Yale UniversityStatistics -
Princeton UniversityStatistics
Frequently Asked Questions about Larry Rafsky
What company does Larry Rafsky work for?
Larry Rafsky works for Dd-Aim
What is Larry Rafsky's role at the current company?
Larry Rafsky's current role is Data Scientist -- Statistics and Machine Learning.
What is Larry Rafsky's email address?
Larry Rafsky's email address is la****@****dys.com
What is Larry Rafsky's direct phone number?
Larry Rafsky's direct phone number is +197342*****
What schools did Larry Rafsky attend?
Larry Rafsky attended Yale University, Princeton University.
What skills is Larry Rafsky known for?
Larry Rafsky has skills like Software Development, Xml, Business Intelligence, Data Mining, Strategic Partnerships, Machine Learning, Enterprise Software, Business Strategy, Business Analysis, Strategy, Business Development, Web Services.
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