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Daniel J Sandberg, 391371 August Rd, North Babylon, NY 11703

Daniel Sandberg Phones & Addresses

North Babylon, NY   

New York, NY   

29 Kathleen Dr APT 4C, Willimantic, CT 06226    860-8049372   

29 Kathleen Dr, Willimantic, CT 06226   

Charlottesville, VA   

New Hyde Park, NY   

Franklin Square, NY   

Melville, NY   

Great Neck, NY   

Storrs Mansfield, CT   

827 Catalpa Ct, Charlottesville, VA 22903   

Work

Company: Univ. of connecticut 2010 Position: Graduate research assistant to professor jos a. gascn

Education

School / High School: University of Connecticut- Storrs, CT 2007 Specialities: Ph.D. in Physical/Computational Chemistry

Skills

Programming • Computer modeling • Analytical Chemistry • Device Design • Spectroscopy • Software Development

Mentions for Daniel J Sandberg

Career records & work history

Lawyers & Attorneys

Daniel Sandberg Photo 1

Daniel Sandberg - Lawyer

Office:
Kelter-Thorner, Inc.
ISLN:
904060520
Admitted:
1984
University:
University of Michigan, B.A., 1981; University of Michigan, B.A., 1981
Law School:
University of Michigan, J.D., 1984; University of Michigan, J.D., 1984

Daniel Sandberg resumes & CV records

Resumes

Daniel Sandberg Photo 41

Senior Director, Quantitative

Location:
Bloomington, IN
Industry:
Financial Services
Work:
S&P Global Market Intelligence Apr 2019 - Mar 2019
Senior Director and Alternative Data Validation, Quantitative Research
The Legacy Foundation, Llc Feb 2013 - Sep 2015
Senior Financial Analyst and Development Director
Feb 2013 - Sep 2015
Senior Director, Quantitative
Education:
Chartered Financial Analyst Institute 2017
University of Connecticut 2007 - 2012
Doctorates, Doctor of Philosophy, Philosophy, Chemistry
University of Connecticut 2003 - 2007
Bachelors, Chemistry
Skills:
Clarifi, Quantitative Research, Portfolio Management, Modern Portfolio Theory, Machine Learning, Microsoft Sql Server, Python, R, C++, Software Development, Monte Carlo Simulation, Extended Basic, Programming, Algorithm Analysis, Backtesting, Portfolio Optimization, Statistical Modeling, Algorithm Development, Fintech
Interests:
Programming
Kayaking
Sky Diving
Spectroscopy
Rock Climbing
Breadboarding
Computer Modeling
Scuba Diving
Snow Boarding
Mountain Biking
Daniel Sandberg Photo 42

Daniel Sandberg

Industry:
Real Estate
Daniel Sandberg Photo 43

Daniel Sandberg

Location:
United States
Daniel Sandberg Photo 44

Daniel Sandberg - Charlottesville, VA

Work:
Univ. of Connecticut 2010 to 2000
Graduate Research Assistant to Professor Jos A. Gascn
Univ. of Connecticut 2006 to 2010
Graduate Research Assistant to Professor Robert R. Birge
Univ. of Connecticut 2005 to 2007
Undergraduate Assistant to Professor Andrey V. Dobrynin
Univ. of Connecticut 2003 to 2007
Undergraduate Assistant to Professor Thomas A.P. Seery
Education:
University of Connecticut - Storrs, CT 2007 to 2012
Ph.D. in Physical/Computational Chemistry
University of Connecticut - Storrs, CT 2003 to 2007
BS in Chemistry (Minor Mathematics and Minor Business)
Skills:
Programming, Computer modeling, Analytical Chemistry, Device Design, Spectroscopy, Software Development

Publications & IP owners

Us Patents

Protein-Based Artificial Retinas

US Patent:
8563026, Oct 22, 2013
Filed:
Mar 5, 2010
Appl. No.:
12/718780
Inventors:
Robert R. Birge - Coventry CT, US
Megan Nollenberger - Willimantic CT, US
Matthew Ranaghan - Vernon CT, US
Daniel J. Sandberg - Willimantic CT, US
Nicole Wagner - Oxford MA, US
Assignee:
University of Connecticut - Farmington CT
International Classification:
A61F 2/14
US Classification:
424427, 427 224, 514 208, 623 663
Abstract:
Multilayer protein films are provided, which comprise native bacteriorhodopsin and/or specialized bacteriorhodopsin mutants as the photoactive element. Also provided are artificial subretinal and epiretinal implants carrying such bacteriorhodopsin films, as well as methods for making and using the same, for example, to treat retinal diseases and conditions.

Textual Data Analytics

US Patent:
2023006, Mar 2, 2023
Filed:
Aug 27, 2021
Appl. No.:
17/446220
Inventors:
- New York NY, US
David Pope - North Andover MA, US
Daniel Sandberg - North Babylon NY, US
Temilade Oyeniyi - Chicago IL, US
Ashish Sumsher Rana - Silver Springs MD, US
Eric Oak - Framingham MA, US
International Classification:
G06F 40/216
G06N 5/04
G06F 40/279
Abstract:
A method of textual data analysis is provided. The method comprises parsing text data extracted from transcripts related to a number of companies. Intermediate metrics are created comprising numerical representations of the parsed text data and derivations. The intermediate metrics are then combined into different combinations comprising headline analytics. A machine learning model tests each headline analytic for standalone predictive efficacy. Headline analytics with standalone predictive efficacies above a first threshold are selected and then tested for additive predictive efficacy to determine if the selected headline analytic incrementally increases the predictive efficacy of a preexisting economic analytic above a second threshold. Headline analytics with additive predictive efficacy above the second threshold are applied to a second number of transcripts in combination with the preexisting economic analytic to predict financial performance of companies that are the subjects of the second number of transcripts.

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