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Jesper Kristensen

Jesper Kristensen

Education

Ph.D. ’15
    Applied and Engineering Physics
    Minor: Computer Science

    Cornell University


M.S. ’14

    Applied and Engineering Physics

    Cornell University


M.Eng. (MEC Fellow) ’11

    Engineering Physics

    Cornell University


B.Sc. ’10

    Physics and Nanotechnology

    Technical University of Denmark



Visiting Scholar

University of Warwick ’15

    Researcher in the
     Zabaras CSE lab.


University of Florida ’14

   Researcher in the
  
Hennig group.


UC at Santa Barbara ’10

    Researcher in the
   
UCSB Pennathur Lab.


Rensselaer Polytechnic Institute ’09
   
Exchange student in the
  
REACH program.

Welcome to my personal website!


I work as a Senior Software Engineer at a health tech company called Flatiron Health in Manhattan, New York. We are roughly 250 engineers total. This is an extremely rewarding position learning about infrastructure, building software products, and maintaining them to demanding customers. I support an important mission of improving lives by learning from the experience of every cancer patient.


Before Flatiron, I worked as a lead R&D engineer at General Electric Co. (GE) Research headquartered in upstate New York, USA. GE is a very large company with +300,000 employees world-wide. I was one of the ~600 Ph.D.’s working at GE Research and received and outstanding training among some of the best researchers in the world.


This provided me with 4 years of industrial research experience that I employ every day to solve cutting edge problems in  a world-class team. Fundamentally, and what gets me up in the morning, I am passionate about developing new technologies and advancing existing ones. It is always most exciting when doing this in a strong diverse team.


Research specialty

In terms of my industrial research experience which built heavily on my PhD training, I worked in the “Probabilistics & Optimization” team managed by Dr. Liping Wang (see this presentation, e.g.). Technically, I worked on, and taught in, a broad range of Data Analytics topics at GE Research with emphasis on data science, optimization,  regression and classification, uncertainty quantification, uncertainty propagation, how to employ Bayesian techniques, surrogate modeling, optimization (including Bayesian global optimization), Gaussian Processes, Markov Chain Monte Carlo (MCMC) techniques (including adaptive sequential MCMC - a parallel MCMC engine), artificial neural networks including Deep Learning, and more. I worked on a wide variety of projects ranging from internal GE business such as GE Renewables, GE Aviation, GE Power, etc., to external projects where I, e.g., proudly helped improving the technology of the US Air Force.


I hold a Ph.D. from Cornell University from the Applied and Engineering Physics department with a minor in Computational Materials Science. Upon graduation I had the unique opportunity to continue and enhance my research at GE Research where it made a big impact. Then, I joined Flatiron, a tech company, to further improve my coding and technology skillset in a world-class team of Software developers and Engineers.


I was born and raised in Denmark.


Physics Tutor

During my time at Cornell I spent about 6 hours per week tutoring students in undergraduate physics courses at Cornell. Tutoring provided a great opportunity to help students build intuition in physics. I find it fun to break down challenging problems to a point where I can level with the student and then, together, build back up to the point where the actual problem can be solved. Experiencing aha moments is always very rewarding. Surely, if you break a problem into small enough pieces you end up with the ability to solve it.


While at Cornell, I tutored directly for the Physics department supervised by Robert Lieberman (who is incidentally also a movie director) and also in the Office of Academic  Diversity Initiatives (OADI).

Contact

CV

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