Dr. Robert Harrington Email and Phone Number
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AI researcher, data scientist, software engineer (C++/Python), and technical manager with over 13 years of experience in data analysis and considerable management experience. I thrive on solving challenging problems, using every project to learn new techniques and deepen my understanding of programming and data analysis. I am used to working with brilliant people, having been a particle physics postdoc for several years at CERN, and before that an officer in the U.S. Nuclear Navy. I enjoy mentoring young researchers, and I work well either independently or as part of a research team. Professional skills:• Strong ability to learn and apply new technologies (programming languages and software tools) in a short time• Able to analyze and interpret data using advanced statistical methods, including multivariate and Bayesian methods• Able to produce visualizations using advanced statistical tools• Expert in data modeling and stochastic simulation techniques• Proven leader and manager of international teamsPersonal skills:• Excellent verbal and written communication skills• Encouraging attitude with a strong capability to inspire others• Able to adapt and work effectively in changing environments• Dynamic, results-oriented problem solver• Thrive in a team environment and work well with others• Team leader and team playerComputer skills:• Programming languages: C, C++, FORTRAN, Python (proficient)• Statistical software tools: ROOT (proficient), R (working knowledge)• Machine learning• Microsoft office: Excel, Word, PowerPoint, Access (proficient)• Documentation: LaTeX, HTML (proficient)• Operating systems: Mac, Linux, Windows (proficient)• Database tools: SQL (working knowledge)
Disco
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- csdisco.com
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Senior Director Of Ai And Machine LearningDiscoNewton, Ma, Us -
Senior Director Of Ai & Machine LearningDisco Apr 2022 - PresentAustin, Texas, Us- Built up an international team starting with two people to ultimately a team of 10 AI researchers responsible for research of innovative ideas and implementation of novel applications in production for legal tech applications- Led research leveraging GenAI and implementation in production of new features for all of the following: * An innovative tool that identifies relevancy of documents based on descriptions provided by attorneys for multiple criteria * A chat engine using a retrieval-augmented generation and a LLM to allow attorneys to query their documents and get answers supported by citations * Capabilities for attorneys to query and summarize individual documents. * A feature that extracts timelines from legal documents * A feature that uses summarization and extraction techniques to provide summaries and table of contents for legal documents * The ability to review thousands of documents to identify relevance for one or more classes, saving hours, days, or even weeks of laborious manual review - Led research into the use of knowledge graphs for various applications, including a chat bot, summarization of many documents, and entity graphs- Worked with company leadership to develop AI strategies for the company -
Principal Data ScientistDisco Dec 2019 - Apr 2022Austin, Texas, Us- Investigated multimodal approaches to improve multilabel classification- Replaced the use of CNN models for multilabel classification with BERT, achieving a 10% improvement in fidelity with only a modest increase in inference cost -
Senior Machine Learning ScientistDisco Mar 2019 - Dec 2019Austin, Texas, Us- Developed a model for classifying parts of an email (header, body, advertising, disclaimers, etc.) using a BiLSTM with a Conditional Random Fields model- Investigated the optimal metrics for evaluation of deep learning models for multilabel classification of documents -
Senior Data ScientistTessella Jun 2017 - Feb 2019Abingdon, Oxfordshire, Gb• Used reinforcement learning and game theory to develop a game for a leading pharma company used to measure collaborative behavior in patients having behavioral disorders• Automated the analysis of scientific assays for a leading genomic research company, developing algorithms to measure DNA fragments in capillary electrophoresis experiments• Developed an algorithm for an oil and gas company to inspect underwater pipelines using convolutional neural networks for image classification to identify important pipeline features• Tech lead for project that used signal processing, Kalman filtering, and random forests to analyze data for oil well casing connections to allow approval of the connection in the field• Met with clients as part of the sales team to acquire new business with existing clients and to develop new clients, writing proposals for projects worth up to $1M in revenue -
High Energy Physics Silicon Detector Lab DirectorBrown University Apr 2016 - Jun 2017Led High Energy Physics (HEP) lab for the Brown Physics group, in charge of development of one of the particle detectors for the CMS Experiment in support of the upgrade of the Large Hadron Collider at CERN (European Center for Particle Physics Research). Responsible for development and supervision of research projects and development of the group’s manufacturing capability♦ Developed simplified silicon sensors using photolithography and IC CAD design (C++)♦ Supervised development of software for control/measurement of voltage and current for measurements of characteristics of silicon diodes and other silicon-based sensors
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Postdoctoral Researcher - Data Analysis, Software EngineeringThe University Of Edinburgh / Cern (European Center For Particle Physics Research) Jul 2011 - Apr 2016Edinburgh, Gb• Led group of over 100 researchers on the ATLAS experiment performing studiesof the Higgs boson particle discovered in 2011 – Supervised several teams of researchers in analyses of large (petabtye-scale) dataset using sophisticated multivariate likelihood-based techniques – Successfully brought to publication important measurements of Higgs boson properties including spin, parity, differential and fiducial cross-sections, as well as search for new physics combining four separate analyses• Developed software for statistical analysis using multivariate likelihood functions and nuisance parameters, used for all measurements of Higgs decay to Z bosons• Key contributor to discovery of Higgs boson particle and first measurement ofHiggs boson mass• Developed infrastructure for combination of Monte Carlo simulation with fast simulation using parametric models to provide petabytes-sized simulated datasets -
Postdoctoral Research Associate - Data Analysis, Software EngineeringBoston University / Cern (European Center For Particle Physics Research) Feb 2007 - Jul 2011Boston, Ma, Us• Developed regression technique to align detector components using charged par- ticle tracks on ATLAS experiment at Large Hadron Collider• Developed algorithm for identifying particles arising from decay of b-quarks for use in physics analysis -
Research Associate - Data Analysis, Software Engineering, Phd StudentNortheastern University, Cern (European Center For Particle Physics Research) Jul 2003 - Feb 2007Boston, Ma, Us• Performed measurement of top quark mass using sophisticated multivariate likelihood- based statistical analysis on the DØ Experiment• Organized workshop with more than 40 participants -
Manufacturing Manager, E-Beam Review DivisionKla-Tencor Jun 2000 - Jun 2002Milpitas, California, Us• Managed manufacturing of thermal field emission electron sources for applicationsof electron microscopy to semiconductor wafer inspection, directly supervising 12 technical personnel• Optimized manufacturing process through analysis of entire chain from supply of raw materials, through processing, assembly and testing to reduce overall pro- duction time by 90%• Implemented system of tracking and evaluating failures of electron sources in the field to improve understanding of failure modes and dramatically improve performance of electron sources in the field• Implemented high throughput production lines of electron sources with improved emission currents and better vacuum characteristics to support new models of wafer inspection tools -
Navy OfficerUs Navy Aug 1993 - Jun 2000Washington, Dc, Us1998-2000: Engineering instructor in Newport, RI, responsible for over 1200 hours of classroom instruction, supervised 400 classroom hours in physics and steam-plant engineering1995-1998: served aboard USS John C. Stennis. Operational duties: - Propulsion Plant Watch Officer, responsible for operations of nuclear power plant propulsion and electrical power generation. - Officer of the Deck Underway, responsible for navigation, propulsion, and all other ship-board activities for 3200+ member crew. Administrative duties: - Reactor Damage Control Officer, 10/97-3/98, maintained preparedness of department of 350+ personnel in responding to shipboard emergencies. - Reactor Auxiliaries Division Officer, 10/95- 10/97, supervised 20 personnel in maintenance and operation of shipboard diesel engines. 1993-1995: education and training
Dr. Robert Harrington Skills
Dr. Robert Harrington Education Details
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Northeastern UniversityHigh-Energy Physics -
The University Of Texas At AustinPhysics
Frequently Asked Questions about Dr. Robert Harrington
What company does Dr. Robert Harrington work for?
Dr. Robert Harrington works for Disco
What is Dr. Robert Harrington's role at the current company?
Dr. Robert Harrington's current role is Senior Director of AI and Machine Learning.
What is Dr. Robert Harrington's email address?
Dr. Robert Harrington's email address is rd****@****hoo.com
What schools did Dr. Robert Harrington attend?
Dr. Robert Harrington attended Northeastern University, The University Of Texas At Austin.
What skills is Dr. Robert Harrington known for?
Dr. Robert Harrington has skills like Physics, Science, Scientific Computing, Statistics, Simulations, Latex, Data Analysis, Monte Carlo Simulation, Research, C++, Python, Algorithms.
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