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Patrick Ph.D.

Director of Software Development @ Complete Discovery Source

Executive, Chief Scientist, Head of AI Research

San Francisco Bay Area

Ranked #873 out of 17,460 for Director of Software Development in United States

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Patrick Ph.D.'s Email Addresses & Phone Numbers

Patrick Ph.D.'s Work Experience

Complete Discovery Source

Director of Software Development

April 2013 to Present

PRD Labs

Chief Technology Officer, Business Development

January 2012 to Present

Nuance Communications

Chief Scientist of Federal System Division, Business Development

January 2006 to May 2012

Patrick Ph.D.'s Education

Tulane University

Ph.D. Computer Science

1992 to 1997

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Patrick Ph.D.'s Estimated Salary Range

About Patrick Ph.D.'s Current Company

Complete Discovery Source

Responsible of the design and development of big data and analytics solutions (map-reduce, machine learning and natural language processing) for the eDiscovery platform (Nytrix CIY); a proprietary cloud-based litigation support and document review platform.

Frequently Asked Questions about Patrick Ph.D.

What company does Patrick Ph.D. work for?

Patrick Ph.D. works for Complete Discovery Source

What is Patrick Ph.D.'s role at Complete Discovery Source?

Patrick Ph.D. is Director of Software Development

What is Patrick Ph.D.'s personal email address?

Patrick Ph.D.'s personal email address is p****[email protected]

What is Patrick Ph.D.'s business email address?

Patrick Ph.D.'s business email addresses are not available

What is Patrick Ph.D.'s Phone Number?

Patrick Ph.D.'s phone (**) *** *** 105

What industry does Patrick Ph.D. work in?

Patrick Ph.D. works in the Computer Software industry.

Who are Patrick Ph.D.'s colleagues?

Patrick Ph.D.'s colleagues are Mike Ojemann, Thomas Freyre, David Ferrand, Adam Fanslau, Damian Rosaire, David Brady, Diego Leon, Stephen Zangre, Travis Montaque, and Stephen Zangre

About Patrick Ph.D.

đź“– Summary

Director of Software Development @ Responsible of the design and development of big data and analytics solutions (map-reduce, machine learning and natural language processing) for the eDiscovery platform (Nytrix CIY); a proprietary cloud-based litigation support and document review platform. From April 2013 to Present (2 years 9 months) Chief Technology Officer, Business Development @ PRD Labs is a Research & Development company focusing on challenging cognitive and computer science problems. It is establishing its reputation by leading examples to become the leader in providing actionable knowledge from unrestricted data and information that solves your data problems for your needs and domains. We provide creative, effective, and efficient solutions to the scientific and technical challenges on how to take dynamic heterogenous flood of information, process it, interpret it in context, and provide adaptive analytics so that something useful emerge from it and help you solve your information understanding problems. * Designed and implemented novel NLP techniques in Java to process live streams of unrestricted texts from news to social medias and extract complex events situated in time and space - with proper resolution of each; leveraged cloud computing, big data, relational databases, NLP tools * Designed and implemented a graph database to hold textual big data in the cloud * Designed and implemented novel business analytics to allow users to investigate what-if scenarios and contingent solutions in order to generate forecasts * Designed and implemented novel big data analytics in the cloud based on dynamic social network analysis, network science, and uncertainty reasoning with time and location From January 2012 to Present (4 years) Chief Scientist of Federal System Division, Business Development @ Designed and implemented robust fielded software in all aspects of Artificial Intelligence, Computer Science, and Mathematics leveraging advanced and emergent technologies. Identified needs, defined new projects, articulated novel ideas, developed formal representations, quick prototyping, algorithms development, and testing/validation. Focus on network science, social network analysis, ontology development, concept formation, knowledge extraction from text, automated planning and reasoning, machine learning, natural language processing * Developed very large dynamic distributed system of systems to solve the DIME-PMESII problem for asymmetric warfare. Recognized as one of 4 centers of excellence. Developed System of Systems, social modeling, analytics, events extraction, machine learning algorithms for node-link analysis and analytics to predict plausible and possible values of independent or groups of dynamic state variables to satisfy desired future effect, discover linkages in data from semantic interpretation to populate dynamic networks, dynamic temporal planning to discover complex sequence of actions to satisfy desired effects, successfully integrated to the planning system of record (CAPES) fielded in our troops * Developed solutions to support the Future Combat System of the Army of 2020+, sensors and unmanned assets assignment, planning, and execution. Developed all the algorithms for the team to implement. Solve several complex problems related to gather data from assets (UAV, UGV, humans, etc.) and designed advanced methods to compute the interpretation of the collected data towards satisfying the mission, handling changes in the mission and re-planning * Developed solutions in ontology generation from very large collections of unrestricted texts (big data), information extraction, and events analysis to support our effort. This effort leveraged social network analysis, big data, text analytics, NLP, ML From January 2006 to May 2012 (6 years 5 months) Senior Solutions Architect, Lead Science & Technology @ Supported the warfighter via the Command & Control Cognition Branch, a part of the Army Engineering Research & Development Labs, with respect to science and technology. Successfully identified and developed emergent technologies to lead the path for future programs in information technologies to align warfighter & battle command system capabilities. * Developed solutions to enhance warfighters cognitive performance for collaboration and decision making in a complex dynamic net-centric environment, combining distributed teams covering computer science, cognitive science, & social science * Designed innovative solutions to augment human cognition while performing Battle Command cognitive processes, adaptively present very large & different amounts of information aligned with human processing (cognitive performance), measure & improve team performance and trust, and measure & improve human performance in battle command processes (decision making, collaboration) * Developed solutions to extract very large amount of text data as a cloud solution, augmenting with background knowledge to augment cognitive performance while using MS Office suite of products; automatically extracted relevant and contextual information and indexed textual data to automatically bring relevant and contextual knowledge to users based on the content they are dynamically generating * Developed a conceptual model and development plan to elevate the branch in being recognized as the premier workforce sought after by our customers, directed the distributed teams to implement the system towards successful experiments * Designed and developed innovative research and technologies from collaboration with Human Behavioral Psychologists with respect to the understanding the complex relationships between Social/Cognitive networks and information networks. Leveraged big data, analytics, social network analysis, intelligent agents From 2009 to 2012 (3 years) Senior Solutions Architect, Business Development @ * Designed and developed a novel holonic-based navy weapon handling system for the Navy to be fielded on deployed aircraft carriers. * Implemented the prototype to demonstrate the approach and won the second phase award to develop the next version. * Java, C++, Drools, Hibernate From 2009 to 2011 (2 years) Director of Research & Development, Business Development @ * Designed, developed, and directed a complete line of products and proprietary databases (GeneWays Discovery Platform) that provide automated knowledge extraction, curation, and information analysis from documents and published full texts, saving drug developers and other life-science researchers substantial time and money. * Defined, designed, and developed the front end system in Java to take large collection of processed texts, display as networks, and the graphical techniques to navigate in a graph and analyze its connectivity to discover pathways * Design and implemented the back end and front end system to filter larger collections of documents From July 2004 to December 2006 (2 years 6 months) Chief Technology Officer, Business Development @ A senior member in the early stages of the company, participated in designing and developing the model that fit the vision statements regarding Knowledge on Demand and Business Intelligence covering various domains of market interests * Articulated the approach for the next generation knowledge management technology in order to timely and intelligently access, manage, & relate critical information to help Brivea’s in-house experts quickly navigate and investigate the broad situated knowledge space in searching for high-quality competitive relevant answers to customers’ questions * Defined, designed, and developed the main components describing the overall process of capturing and structuring, managing, and accessing information to generate high-quality relevant knowledge: (1) Situated Knowledge Space, a proprietary repository of structured information to contain all information automatically extracted from both targeted and human sources, designed as an n-dimensional space of domain entities and their connections (2) Knowledge Elicitation is a Natural Language Processing (NLP) component that uses language analysis to precisely access the content of information sources and extract domain relevant entities and their relationships (connections) (3) Intelligent Knowledge Access is a graphical interface giving the ability to dynamically and interactively navigate and investigate the situated knowledge space. Users combine the power of both extracted connections and their own expertise in quickly finding high-quality connections to answering questions, allowing them to access extracted connections from sources (facts) and to include his/her own judgment in finding more clues toward finding an answer, in an intuitive, easy, and rapid intelligent graphical interface * Directly participated in early stage business development with the rest of the senior team members, resulting in securing funds for next stages of the company, now a successful, stable, and profitable company From 2003 to 2005 (2 years) Senior Project Manager, Senior Research Scientist @ Natural Language Processing, Text Mining, Machine Learning, Knowledge Discovery, Information Extraction, Information Retrieval * Developed text mining/knowledge discovery solution for mining published scientific literature and biochemical databases to help reduce drug discovery process * Developed robust text mining and knowledge extraction solutions for relevant texts (full articles) extraction, information retrieval, knowledge extraction, xml-based text language description, and knowledge discovery * Developed solution to help analysis of kinases data for Molecular Systems: extracts relevant articles from various journals & extracts the most important/relevant sentences based on content * Developed solution to index documents based on content & descriptors of molecules observed in text * Developed solution to help analysis of gene expression data for Bioinformatics: find relevant articles & discover interacting associations to help interpretation of a given list of gene accession numbers (e.g., why they respond positively to some treatment or not) * Developed solution for large-scale text-based gene annotation to help interpreting BLAST lists. Capture significant information from databases (GenBank, Proteome, SwissProt, etc.) and open literature (Medline, Patents) to abstract what is known about each gene accession number. This representation was used to suggest natural cutoff points in BLAST lists, based on combined measures of topics variation. Utilized this representation to find gene accession numbers most relevant to the BLAST query, resulting in rescue of interesting points missed by the sequence comparison. This representation added a new dimension in the interpretation of genes and can be used to construct knowledge bases of annotations with higher quality than existing public knowledge bases * Developed solutions to recognize entities (gene names) in free text and to extract the correct nature of the relationships between entities, based on efficient NLP From January 2001 to December 2003 (3 years) Senior Project Manager, Senior Research Scientist @ Machine Translation, Natural Language Processing, Machine Learning, Knowledge Representation, Computational Linguistics * Developed the reimplementation in Java and C++ of the core translation component (NLP) of the Logos Translation model, for automated Machine Translation, leading to the commercial product Logos 8.0, 8.1 (eSense 1.0), 8.2 (eSense 2.0) securing larger market segments and customers * Led team of 10 software engineers and on-demand linguists to move the legacy code towards true object-oriented code. Benefits: more maintainable and adaptable code and significant increases in speed and efficiency * Led projects across various disciplines including developers and linguists: maintaining components, debugging, designing new features based on clients requests, etc. * Developed TermMiner: extract all terms (words and phrases) from large documents and infers syntactic/semantic and possible transfer. Now included in eSense product * Developed tool for Learning to Improve Translation Quality: search for best sentence form with respect to the actual translation output and a model of word usage in context * Developed tool for Learning Word Usage in Context: decide on correct surface form of words based on their context of usage in sentences (based on learned model of the language) * Developed a Machine Learning Toolkit in Java. Development of ML techniques and extraction methods to be used for various needs: improve translation quality, learn the gender of words * Developed the Logos Linguistic Programming Language: high-level programming language now used to write all Logos linguistic grammar rules for any language pairs: eases development of new languages * Developed TQPro project: wp 5.2.1 (improvement of MT quality) and wp6.4 (MT diagnostics). * Developed language development tools: rule induction as a start up grammar to boost development of new language pair; multilingual entity recognition; text domain recognition; term extraction From June 1998 to December 2000 (2 years 7 months) Senior Research Scientist @ Researched and developed an intelligent support system (ISS) for automatic data analysis and efficient data exploitation in large numerical scientific databases (knowledge discovery in databases). The systems showed capability to learn to predict the location of eddies in the North Atlantic Gulf Stream current. From September 1994 to March 1997 (2 years 7 months) Ph.D., Computer Science @ Tulane University From 1992 to 1997 Patrick Ph.D. is skilled in: Computational Linguistics, Software Project Management, Business Intelligence, Software Engineering, Machine Translation, Product Management, Programming, Text Mining, Computer Science, Machine Learning, Social Network Analysis, Network Science, Cognitive Science, Complexity Theory, Uncertainty Analysis

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In a nutshell

Patrick Ph.D.'s Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

3 year(s), 1 month(s)

Patrick Ph.D.'s Willingness to Change Jobs



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