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Mark Dijkstra

from San Francisco, CA
Age ~47
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Connected to:
Patricia J Dijkstra, 59Peter D Dijkstra, 49Plummer Dijon, 53Alfred T Dijorio, 54Dana H Dijulio, 35Elizabeth J Dijulio, 63Kathleen A Dijulio, 81Danny J Dik, 47Mark R Dik, 72Peter A Dik, 33

Mark Dijkstra Phones & Addresses

  • San Francisco, CA
  • Santa Barbara, CA
  • 112 Fayerweather St, Cambridge, MA 02138
  • New York, NY
  • Berkeley, CA

Work

Company: Institute of theoretical astrophysics, university of oslo Nov 2013 to Sep 2017 Position: Associate professor

Education

Degree: Doctorates, Doctor of Philosophy School / High School: Columbia University In the City of New York 2001 to 2005 Specialities: Astronomy, Astrophysics, Philosophy, Astronomy and Astrophysics

Industries

Apparel & Fashion

Resumes

Resumes

Mark Dijkstra Photo 1

Data Scientist

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Location:
San Francisco, CA
Industry:
Apparel & Fashion
Work:
Institute of Theoretical Astrophysics, University of Oslo Nov 2013 - Sep 2017
Associate Professor
Stitch Fix Nov 2013 - Sep 2017
Data Scientist
Max Planck Institute For Astrophysics Aug 2010 - Oct 2013
Senior Research Fellow
Harvard University Sep 2007 - Aug 2010
Itc Research Fellow
University of Melbourne Oct 2005 - Jun 2007
Postdoctoral Researcher
Education:
Columbia University In the City of New York 2001 - 2005
Doctorates, Doctor of Philosophy, Astronomy, Astrophysics, Philosophy, Astronomy and Astrophysics University of Groningen Business School (Ugbs)

Publications

Us Patents

Global Optimization Of Inventory Allocation

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US Patent:
20210326913, Oct 21, 2021
Filed:
Jun 30, 2021
Appl. No.:
17/363536
Inventors:
- San Francisco CA, US
Bradley J. Klingenberg - San Mateo CA, US
Mark Dijkstra - San Francisco CA, US
Ramesh O. Johari - Burlingame CA, US
International Classification:
G06Q 30/02
G06N 20/00
Abstract:
A plurality of desirability prediction values are determined by one or more machine learning models. A desirability prediction value of the plurality of desirability prediction values corresponds to a particular client and a particular product. A plurality of global constraints are determined. A plurality of products are allocated to a plurality of clients based on the plurality of determined desirability prediction values and the plurality of determined global constraints.
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Mark Dijkstra from San Francisco, CA, age ~47 Get Report