Bellevue High School, Bellevue Nebraska

California Institute of Technology

Louisiana State University

Founder, Data Leadership Group (Data Scientist. Top Influencer. Speaker. Trainer. Consultant). Advisor to DataPrime Inc.

Columbia, Maryland, United States

My services include:
- 1) Speaking at conferences, webinars, events.
- 2) Teaching and Training Courses.
- 3) Strategy Consulting.
- 4) Social Promotions & Engagement for Brands.
- 5) Career advising & mentoring.
- 6) Content creation (blogs, book chapters, white papers).
- 7) Expert Witness.

My areas of expertise include those listed here:
- AI #DataScience #BigData #MachineLearning #DigitalTransformation #IoT #IIoT #AIstrategy #AnalyticsStrategy #DataStrategy #DataLiteracy #DataStorytelling #Analytics
- more

https://www.dataleadershipgroup.ai/

Founder, Data Leadership Group (Data Scientist. Top Influencer. Speaker. Trainer. Consultant)

As a member of the DataPrime Advisory Board, I advise on activities and projects related to:
- Building the Data Science Profession for data pros.
- Expanding Data Literacy and Data Fluency across enterprises.
- Accelerating value creation and innovation from data in data-drenched organizations.

DataPrime, Inc.

Advisory Board Member

I get great pleasure in finding solutions through data. The scientist in me loves to explore data (evidence), find new discoveries, develop a hypothesis to explain it, and then test those theories. As the Principal Data Scientist at Booz Allen Hamilton, I am privileged to exercise that Data Scientist role across numerous internal and external projects: human resources, organizational change, training and mentoring, marketing, customer engagement, behavior analytics, risk mitigation, novelty discovery (including fraud detection, anomaly detection, surprise discovery), thought leadership, socialization of data science across organizations and industries, data technologies (including machine learning, data management innovations, graph analytics), predictive and prescriptive analytics, geospatial-temporal modeling, and much more. I engage with clients within the federal sector, within numerous commercial industries, and with nonprofit organizations. And I enjoy mentoring, working with, and learning from some of the best and brightest young data scientists in the business.

Read more here: "A Growth Hacker's Journey - my mini-history of Data Science"
<a href="https://www.mapr.com/blog/growth-hackers-journey-right-place-right-time">https://www.mapr.com/blog/growth-hackers-journey-right-place-right-time</a>

Booz Allen Hamilton

Principal Data Scientist and Executive Advisor, First Data Science Fellow at Booz Allen

Kirk Borne is the first member of SYNTASA’s Advisory Board. Dr. Borne’s extensive experience in big data and data science, including expertise in scientific data mining and data systems, will help guide SYNTASA in providing focused Marketing Analytic solutions. SYNTASA will leverage the Advisory Board to grow expertise in marketing analytics, data science, predictive modeling, and management of big data sets. The Board will help steer the company on its path in creating big data analytic solutions using open source technology.
<a href="http://syntasa.com/president-and-ceo-jay-marwaha-appoints-kirk-d-borne-ph-d-as-first-syntasa-advisory-board-member/">http://syntasa.com/president-and-ceo-jay-marwaha-appoints-kirk-d-borne-ph-d-as-first-syntasa-advisory-board-member/</a>

SYNTASA™

Advisory Board member of Soft10 Inc., which brings fast Automatic Predictive Modeling Technology to any business that needs to build, validate, and refine multiple models from their data : <a href="http://soft10ware.com/about-us/our-team/">http://soft10ware.com/about-us/our-team/</a>

Soft10 Inc.

Provided scientific advice and consulting on Big Data and Data Science projects and proposals

Intelligent Automation, Inc.

Big Data Science Consultant

Contributing to the international and national efforts to promote astrostatistics and astroinformatics as robust research disciplines: organizing international research conferences on astrostatistics and astroinformatics, and contributed to the creation of three new international and national organizations:

- 1) Vice President, International Astrostatistics and Astroinformatics (IAA) professional society.

- 2) Senior Steering Committee member, AAS (American Astronomical Society) Working Group on Astroinformatics and Astrostatistics.

- 3) Organizing Committee member, IAU (International Astronomical Union) Working Group in Astrostatistics and Astroinformatics.

In addition... (for 2014-2015):

- 4) Secretary, SIAM SIAG/DMA (SIAM Activity Group on Data Mining & Analytics).

Astroinformatics and Astrostatistics International Organizations

Executive Committee Member

The Large Synoptic Survey Telescope (LSST) is planned to generate a 20-petabyte science database and a 100-petabyte astronomical image archive -- the analysis of such an enormous data collection requires novel research methods and algorithms.  Our collaboration team consists of astronomers, computer scientists, data mining experts, and statisticians --- we are working on solutions to the LSST petascale data challenges.

I was co-creator of the field of Astroinformatics, which is Data Science for Big Data Astronomy:
1) <a href="http://link.springer.com/article/10.1007/s12145-010-0055-2">http://link.springer.com/article/10.1007%2Fs12145-010-0055-2</a>
2) <a href="http://arxiv.org/abs/1301.3069">http://arxiv.org/abs/1301.3069</a>
3) <a href="http://arxiv.org/abs/0909.3892">http://arxiv.org/abs/0909.3892</a>

I also contributed to the revolution in scientific data mining and data science education, not only in Astronomy:
4) <a href="http://link.springer.com/referenceworkentry/10.1007/978-94-007-5618-2_9">http://link.springer.com/referenceworkentry/10.1007%2F978-94-007-5618-2_9</a>
5) <a href="http://arxiv.org/abs/0911.0505">http://arxiv.org/abs/0911.0505</a>

LSST Astroinformatics and Astrostatistics Research Collaboration Team

Chairman

Developing and applying machine learning, data mining, and exploratory data analysis methods on the research data products that are being generated by the enormously popular <a href="http://Zooniverse.org">http://Zooniverse.org</a> citizen science volunteer community.

Zooniverse and other Citizen Science Projects

Astronomer and data scientist

Stinger Ghaffarian Technologies (SGT)

Part-time Science Consultant

Contributed science use cases and requirements, data mining expertise, scientific databases experience, and LSST science database research inputs to the initial formation of the <a href="http://XLDB.org">XLDB.org</a> and <a href="http://SciDB.org">SciDB.org</a> projects.

XLDB (eXtremely Large Databases) founding working group

Data Analytics Scientist

QSS Group, Inc. was acquired by PSGS (Perot Systems Government Services) in early 2007.   SSDOO was NASA's Space Science Data Operations Office at the Goddard Space Flight Center.

As Program Manager, I managed a budget of $30M on a 5-year scientific data services contract, with 70 staff members.  Activities included science data management, database programming and management, data archiving, metadata development, web interface design and development, search and visualization tools development, documentation, research support and publication, helpdesk support, photo lab management, NASA mission support & data processing, systems management and development, and more. My management team received exceptionally high marks for project management, subcontract management, EEO compliance, staff development & training, Performance-Based Contracting metrics performance, and more.

Corporate activities included business development, corporate proposals, training, and organizing the Science Data Centers Symposium (every 2 years).

QSS Group, Inc. and Perot Systems Government Services

Program Manager - Project Manager for the NASA Space Science Data Operations Office Contract

ARIES Scientific Inc. is a non-profit 501(c)(3) corporation, dedicated to the advancement of Science Research and STEM Education.

Kirk Borne has advised and consulted with numerous organizations in data science areas, including machine learning, artificial intelligence (AI), data strategy, data mining, and large-scale data management.

ARIES Scientific

Vice President / Astronomer / Data Scientist

Advising the LSST project team regarding the education and public outreach programs, activities, goals, data products, data system design, interfaces, and learning objectives that will support the mission of the LSST and that will be based on the massive petascale scientific database and astronomical imaging data collection that LSST will produce.

LSST Large Synoptic Survey Telescope

Outreach Advisory Board

Conduct Research, Teach Courses, Advise Students (undergraduate, graduate) in these areas:  Astroinformatics, Data Science, Computational Astrophysics, Astronomy, Computational Science, Data Mining, Informatics, Scientific Databases.

Co-creator of Data Science BS degree program.

For over 30 years, Kirk Borne has studied the dynamics and evolution of galaxies within the context of colliding and merging galaxies, groups and clusters of galaxies, starbursting galaxies, active galaxies, and the mass assembly history of large and small scale structure in the Universe.

Since 2000, he has developed & applied data mining & data science techniques on large astronomy data collections & sky survey databases, earth science remote sensing data collections, and more.  He is investigating new and existing algorithms for the discovery of patterns, correlations, associations, and outliers (surprises) within highly dimensional astrophysical parameter spaces.  These techniques are being used in several research areas, including: galaxy scaling relations, parameterization of the dynamics and evolution of galaxies and groups of galaxies, characterization and classification of time-varying astronomical events and targets of opportunity, and novelty detection within massive datasets. As part of this research, he is working with citizen science results from the Galaxy Zoo and Galaxy Merger Zoo projects.

He is investigating research connections with other data-intensive disciplines, to explore opportunities for advancing research in a broad context, through the investigation and application of data science methods (informatics and statistics) in a manner that transcends discipline boundaries.

He is one of the originators of the field of Astroinformatics, which is data science for astronomy research and education.

He is working with education researchers to develop new pedagogies for science learning that engage students through active experiences using Big Data in the classroom.

George Mason University

Professor of Astrophysics and Computational Science

Taught graduate course in Data Mining each semester, as part of the Database Technologies Masters Degree Program. Taught several semesters online via distance education. Completed training via a graduate education course in Distance Education.

University of Maryland University College

Adjunct Associate Professor - Data Mining

I founded and then became Co-Director For Space Sciences of the new Institute for Science and Technology at Raytheon (I-ST@R).  Funded to carry out research into scientific data mining: (1) data mining of large astronomical databases; (2) data mining of satellite imagery to detect wildfires, as inputs to climate change models; (3) development of semi-supervised Machine Learning algorithms; (4) distributed data mining across large databases -- algorithms for distributed PCA, distributed outlier detection, and distributed text annotation and text mining.

Raytheon Technical Services Company

Co-Director, Institute for Science and Technology at Raytheon (I-ST@R)

Provided contributions in these areas: science use cases, scientific research, data science, distributed data mining, astronomical data mining, scientific databases, astronomical catalogs, semantic linked data, event characterization and classification, large sky surveys, big data in astronomy, astroinformatics (Data Science for Astronomy), science education and public outreach.

US National Virtual Observatory

Senior Scientist

Hughes STX later became Raytheon STX, which then became Raytheon ITSS (Information Technology & Scientific Services company).

As technical line manager, I directly supervised and managed a staff of ~35 scientists, programmers, database staff, web designers & developers, user interface designers & developers, archive specialists, data curators, documentation specialists, and helpdesk support staff.

Corporate activities included business development, corporate proposals, training, and organizing the Science Data Centers Symposium (every 2 years).

Details:  Managed an annual budget of up to $3 million while providing outstanding customer service to the NASA task monitors in many areas:  the ASCA science data processing center, the U.S. ROSAT Science Data Center, the XTE science data processing center, the Astronomical Data Center, the multi-mission archive, archive interface development, object-oriented databases, constellation spacecraft operations, interoperable data systems, astrophysics data acquisition and user support (for optical, UV, infrared, and X-ray astronomy missions), and more.  My staff also produced the extremely popular and widely distributed Multi-Wavelength Milky Way poster, which appears in nearly 100,000 classrooms and offices around the country.  In 2002, NASA closed the ADC and ADF, at which time (2002-2003) I founded and became Co-Director of the new Institute for Science and Technology at Raytheon (I-ST@R), while continuing line management duties over my data center staff.

Training: Six Sigma. CMM (Capability Maturity Model). 7 Habits of Highly Successful People. PBC (Performance-Based Contracting). Business Proposal Development.

NASA Goddard Space Flight Center

Astrophysics Department Manager for Hughes STX, Astronomy Data Center and Astrophysics Data Facility

From 1985 through 1995, Dr. Borne worked at NASA’s Hubble Space Telescope (HST) Science Institute (STScI) in Baltimore, Maryland.  In 1990, he won the Hubble Space Telescope Individual Achievement Award for his development of the HST Phase I proposal submission system. In 1991, he was co-recipient for the NASA Goddard Space Flight Center Certificate of Recognition for the successful deployment and initiation of science operations of  the Hubble Space Telescope. In 1994, he won the HST group achievement award as Data Archive Project Scientist.

From 1992 through 1995, Dr. Borne was NASA’s Hubble Space Telescope DADS (Data Archive and Distribution System) Project Scientist and the StarView (HST User Interface) Project Scientist.  He managed a group of 3-6 archive operators during the early deployment years of the HST data archive system. He provided guidance and advice to NASA management in the design and development of the system.  In 1994, he and his group received the STScI Group Achievement Award for design, development, and deployment of the ST-DADS (Archive) Project.

From 1985 through 1992, Dr. Borne supported the proposal selection system at NASA’s STScI.  He supported external and internal scientists, supported the proposal TAC (telescope allocation committee) in their proposal reviews, and he provided detailed reports and statistics to NASA HQ related to the science program of the HST.  He also developed single-handedly the entire Phase I HST proposal submission system, including databases, user interfaces, submission software (which every HST astronomer in the world used from 1990 through 1992), TAC reports, and more. In 1990, he won the Hubble Space Telescope Individual Achievement Award for these accomplishments. He supervised a group of 6 user support staff in the planning of the HST proposal review meetings, and supervised as many as 6 additional personnel each year during the few weeks around the time of the proposal review meetings.

Space Telescope Science Institute

Scientist - Astronomer - Hubble Space Telescope Data Archive Project Scientist

Carried out research in observational astronomy and theoretical astrophysics, involving imaging and spectroscopic data analysis, modeling, numerical simulation, evolutionary algorithms, and scientific programming.

Carnegie Institution of Washington Department of Terrestrial Magnetism

Carnegie Fellow - Postdoctoral Fellow - Astronomy and Astrophysics Research

Carried out research in observational astronomy and theoretical astrophysics, involving imaging and spectroscopic data analysis, modeling, numerical simulation, evolutionary algorithms, and scientific programming. Taught astronomy courses to undergraduates.

Kirk Borne, Ph.D.