CV of Postdoctoral research scientist / Statistical analyst , looking for a job of Computational research scientist /

Cv de Statistical analyst

Mathematician turned computational neuroscientist seeking a position of a research scientist in healthcare of medical sectors, also open to statistical analyst position

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CV Code: 56fbba4219a427f5
Date of last connection: 2019-07-19

Mr. Su... P...


United States

Current situation:

Current industry: University of California, Los Angeles

Size of the company: More than 1,000 employees

Current position: Postdoctoral research scientist

Number of years spent at this position: Beginner

Number of persons you managed: 0

Annual salary: 45000.00 USD

Total working experience: 1-2 years

Availability: Immediate availability

Job sought:

Positions: Statistical analyst, ,

Industry: Healthcare, medical, ,

Desired type of contract: open-ended contract, fixed term contract

Desired working time: Full-time

Minimum annual salary desired: 0.00 / 0.00 EUR


Highest educational level completed: number of years studied and completed with a diploma after highschool : +11

Last diploma :

Current educational level : +11

Other training courses :

Divers :

Geographical mobility: Country : France

Known Tools / Software/ Methods

HGV, LGV, special vehicles licences

Languages English : Working language
French : Basic
Bengali : Native
Hindi : Intermediate


Mr. Su... P...


United States

Nationality: India
Work experience:Postdoctoral researcher in Computational Neuroscience, University of California, Los Angeles.February 01, 2016-
Postdoctoral researcher in Computational Neuroscience, INRIA, Paris-Rocquencourt, France.October 01, 2014-September 30, 2015.
Postdoctoral researcher in Mathematics, Université Paris-Sud XI, Orsay, France.October 01, 2013-September 30, 2014.
Education:Doctor of Philosophy (Ph.D.) in Mathematics, Rutgers University, New Brunswick, NJ, USA.September 01, 2007-August 31, 2013. First class. Thesis subject: differential geometry and low-dimensional topology.
Master of Science in Mathematics: TIFR Center for Applicable Mathematics, Bangalore, India.June 2005-June 2007. Courses on analysis, partial differential equations, differential geometry, algebra and probability.
Bachelor of Science in Mathematics: Jadavpur University, Kolkata, India.May 2002-May 2005. Major in mathematics, and minored in statistics and computer science.
1. Numerical approximation of parallel trans (coding in MATLAB)Worked on an algorithm for numerically computing parallel transport on shape manifolds. Deduced the error bounds of the algorithm both theoretically and experimentally. For implementation, worked on the Large Deformation Diffeomorphic Metric Matching framework for medical imaging.
2. Development of a new mixed effect model:Developed a new mixed effect longitudinal models on spaces of landmarks (important in computational neuroscience and computer vision) based on parallel transport (above) from the fixed effect trajectory, in connection with Alzheimer's disease modeling.
3. Estimation of parameters in mixed effect model:(coding in MATLAB) The ongoing project involves the estimation of the corresponding parameters for the above mixed effect longitudinal model. Partially completed.
4. Statistical modeling of Fetal Alcohol Syndrome (FAS): (coding in Python) Applying square-root-velocity (SRV) geometric framework (Klassen et al.) for shape matching to compute geodesics between shapes realized as closed curves. The goal is to perform first principal component analysis (PCA) to first uncorrelate the face-brain data and then using perform geodesic regression in the SRV geometric setting for each pair of data.
5. Manifold learning: The primary goal is to both check theoretically and experimentally whether a set of points sampled from a circle in 3D reduces to a sample from topological circle in 2D, after using a computationally efficient dimension reduction technique (Vepakomma, Elgamaal). Joint work with P. Vepakomma. Draft, sample codes available.
Programming/software skills: Matlab, python, C, LaTeX. For C, one course has been taken only.
Papers and publications:1. Construction of a closed hyperbolic surface of arbitrarily small eigenvalue of prescribed serial numberPublished at Contemporary Mathematics, 2011.
2. (Jointly with Jun Hu) Boundary differentiability of Douady-Earle extensions of diffeomorphisms of S^n:Accepted at Pure and Applied Mathematics Quarterly, May 2013.
3. (Jointly with Jun Hu) Douady-Earle extensions of Holder continuous and Lipchitz continuous circle homeomorphisms. Preprint available.
4. (Jointly with Stanley Durrleman) On the order of convergence of an algorithm for the estimation of parallel transport using Jacobi fields on Riemannian manifolds. July 2015. Preprint and codes available.
5. (Jointly with Praneeth Vepakomma and Ahmed Elgammal) An iterative knot simplifying algorithm and empirical study of its effect on Möbius energy. May 2015. In preparation, draft and codes available upon request.

Teaching experience:
Taught as an instructor and a teaching assistant for the following mathematics courses for engineering, physics and economics majors during Ph.D.: precalculus, calculus I and II, differential equations.


Cover letter

Mr. Su... P...


United States

Mathematician turned computational neuroscientist seeking a position of a research scientist in healthcare of medical sectors, also open to statistical analyst position


am applying for a research scientist position in medical imaging. I
consider myself great in research because this is what I have been
doing for the last seven years, in both mathematics and medical
imaging, with mathematicians and engineers. Sometimes I worked
completely alone, for example, my first paper in mathematics was a
sole publication, and sometimes with one or more people (last
postdoc). So I can work independently and also as part of a team.
a researcher in statistical shape modeling (that uses differential
geometry and statistics and is central to medical imaging and
computer vision), my goal is to provide mathematical or statistical
frameworks to deal with images/shapes, and design algorithms (as I
did in my last postdoc) for implementation of these frameworks, and
in turn can help infer about diseases. For example, my current
research at UCLA involves geodesic regression of shapes in a certain
geometric model of Fetal Alcohol Syndrome (FAS).

am good at statistical analysis, having a minor in it, studying
advanced probability during masters, and working on longitudinal
models in my last postdoc. I am also auditing the Coursera machine
learning course (Stanford University), and attending the topological
data analysis workshop:
I am sure these are invaluable skills in any sector.
but not the least, I lived in France and Luxembourg for a total of
almost 2.5 years, and am familiar with the culture around. I also
communicate in French to a certain extent, and certainly want to
improve it. English is almost my first language, speaking it
regularly since 2005, teaching in it for 5 years in the US, and
living in three different continents. Hence, I can be very helpful in
any international collaboration, and also when it comes to
teaching/explaining certain topics.

find in my application packet my CV,.
Upon request, I will be happy to arrange for recommendation letters
from my supervisors.

accept my gratitude for your kind attention,

of California, Los Angeles

States of America

Mr. Su... P

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