Dr. Rachel Hegemann

Angestellt, Data Scientist/AI Engineer, Deutsche Bahn

Darmstadt, Deutschland

Fähigkeiten und Kenntnisse

Mathematical Modelling
Machine Learning
Data Modelling
C#
MatLab
Software Development
Programming
Project Leadership
C/C++
C++
Technical Strategy
R
Python
Deep learning
Image Processing
CNN

Werdegang

Berufserfahrung von Rachel Hegemann

  • Bis heute 6 Jahre, seit Juli 2018

    Data Scientist/AI Engineer

    Deutsche Bahn
  • 4 Jahre und 5 Monate, Feb. 2014 - Juni 2018

    Software Engineer

    SMA Solar Technology AG

    Develop and implement algorithms used to extract salient information from large amounts of data.

  • 11 Monate, Sep. 2012 - Juli 2013

    Automatic cell tracking on phase contrast microscopic images: Fulbright Scholar

    Westfälische Wilhelms-Universität Münster

    Post-doctoral research position. Researching improved methods to automatically detect and track cells undergoing mitosis. Incorporated cMEX code into the existing SABINE algorithm. This resulted in a significant speed up of the initial code base.

  • 2011 - 2012

    Ph.D. Reconstruction of incomplete data on social networks: Research Assistant

    University of California, Los Angeles

    Project leader directing and developing the algorithm generation, code base, analysis of results, and paper writing. Resulted in a published, peer reviewed article in Security Informatics, 2013 Code base written in C++ using Visual Studios with visualization in VTK/Paraview and MATLAB Resulted in numerous talks and poster presentations - July 2012 - Poster presentation SIAM annual meeting, Minnesota - Jan. 2012 - Invited Speaker MURI grant meeting, California - Jan. 2012 - Contributed talk and Poste

  • 1 Monat, Juli 2011 - Juli 2011

    Robust Optimal Design of Heliostat Arrays: Graduate Student

    Statistical and Applied Mathematical Sciences Institute

    Industrial Math and Stat. Modeling Summer Workshop at the Statistical and Applied Mathematical Sciences Institute (SAMSI) with Sandia National Laboratories. Developed mathematical model of Heliostat Arrays with code base and visualization in MATLAB. Voted project presenter by team members.

  • 2010 - 2011

    Ph.D. Modeling Street Gang Activity and Rivalry Formation: Research Assistant

    University of California, Los Angeles

    Project co-leader with close interdisciplinary collaborations Wrote extensive simulation code base in C++ on Linux platform Visualization conducted in MATLAB and OpenGLResulted in a published, peer reviewed article in Physica A: Statistical Mechanics and its Applications, Oct.15, 2011 { Resulted in numerous talks and poster presentations - Aug. 2011 - Invited Speaker at Cypress College AMC2 - April 2011 - Invited Speaker at CSU Channel Islands Graduate Seminar - Feb. 2011 - Poster at IPAM Women in Ma

  • 1 Monat, Juli 2010 - Juli 2010

    Data Assimilation: Particle filters: Graduate Student

    Mathematical Sciences Research Institute (MSRI)/National Center for Atmospheric

    Investigated current research in particle filters and implemented one on a linear ODE in MATLAB.

  • 1 Monat, Juli 2006 - Juli 2006

    Expert System Design for Long Term Care Underwriting for John Hancock: Student

    Worcester Polytechnic Institute

    Research for Undergraduate at Worcester Polytechnic Institute (WPI) and Center for Industrial mathematics and Statistics (CIMS) { Developed model to assess risk for a long term care applicant in MATLAB Work resulted in patent USPTO 20080319802, class 705-4, Long term care underwriting system and method . Poster at MAA-AMS Joint Math Meetings in Louisiana 2007

  • 1 Monat, Juli 2006 - Juli 2006

    Expert System Design for Long Term Care Underwriting for John Hancock: Student

    Worcester Polytechnic Institute

    Research for Undergraduate at Worcester Polytechnic Institute (WPI) and Center for Industrial mathematics and Statistics (CIMS). Developed model to assess risk for a long term care applicant in MATLAB . Work resulted in patent USPTO 20080319802, class 705-4, Long term care underwriting system and method. Poster at MAA-AMS Joint Math Meetings in Louisiana 2007

Ausbildung von Rachel Hegemann

  • 4 Jahre und 11 Monate, Aug. 2007 - Juni 2012

    Mathematics

    University of California, Los Angeles

    Modelling complex systems, Scientific computing, Statistical modelling, programming

  • 5 Jahre und 1 Monat, Aug. 2002 - Aug. 2007

    Psychology

    University of Colorado, Boulder

    Cognitive psychology, learning

  • 5 Jahre und 1 Monat, Aug. 2002 - Aug. 2007

    Applied Mathematics

    University Of Colorado, Boulder

    Statistical analysis, programming, method testing

Sprachen

  • Englisch

    Muttersprache

  • Deutsch

    Fließend

Interessen

Photography
Painting
Cycling

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