Assistant Data

Dushyant Kumar

*** **** **, *** **, NY City , NY,10044,USA

*******@***.*******.***, **************@**********.***

phone : 347-***-****(R)/212-***-**** (O)

Summary:

PhD in physics;

Graduated on the top of my class;

2 years of post-doctoral research experience in mathematical modeling and numerical optimization.

Education:

PhD in physics, Arizona State University; GPA: 3.97/4

M.S. in physics, Indian Institute of Technology, Bombay (I. I. T. Bombay, Powai), India; GPA: 7.5/10

Numerical / Non-computational Skills:

• Good understanding of Inverse problem and Bayesian formulation using informative prior.

• Experience in numerical optimization, handling ill conditioned problems using regularization.

• Well versed with stochastic calculus, probability theory as well as its application to pricing of important financial instruments.

• Workable understanding of time series models such ARMA, ARIMA etc.

Computational Skills2 yrs experience of developing medical image reconstruction algorithms in Matlab (2009-11)

• Experience in numerical computation and optimization (2003-11).

• Experience in writing diffractive imaging code using IDL (Interactive Data Language) and Fortran (2003-09).

• Wrote Labviews codes for data acquisition processes in fluctuation microscopy (2003-09).

• Languages & tools:

o Very good experience in IDL, Fortran, Matlab, Labview.

o Intermediate level experience in C, C++: During my MS, I had taken a certification code in C++ and did some numerical computation coding. However, during my PhD days or later I never got a chance to use C/C++. For last 3-4 months, I have been practicing coding in C++.

Other Personal Skills

• During my postdoctoral job, I have also demonstrated my ability to go out of my comfort zone and accomplish important research assignments. For instance, after completion of my PhD I started working in medical imaging sector which was totally out of my comfort zone. Further the Bayesian spatial filter, that I developed, is going to have a huge impact in popularizing the use of T2-relaxometry in diagnosis of various diseases such as multiple sclerosis, musculoskeletal changes, epilepsy, psychotic disorders, crush injury etc.

• One of my biggest assets is my keenness and ability to learn new thing.

• I have spent considerable time in preparing myself for financial sector research by self-study of relevant topics.

Experience

Postdoctoral Associate, 07/2009 - Current

Weill Cornell Medical College, NY

• Developed a novel data processing algorithm using a Bayesian spatial filter for extracting noise robust myelin water fraction (MWF) map from T2-relaxometry data. The filter encodes our expectation that myelin water fractions and T2-values of pools should vary coherently across the brain region except at boundary. The implication of this algorithm is quite far-reaching with following successful implementations:

o Implementation of aforementioned algorithm to T2-relaxometry data acquired using fast spin echo (FSE-) CPMG sequence showed improved noise robustness (paper submitted) which would translate to better reproducibility in inter-site and intra-site results in clinical studies. However, this particular FSE sequence is still quite slow to be implemented as clinical sequence (half hour for one third of brain coverage).

o Implementation of aforementioned algorithm to T2-relaxometry data acquired using T2-prep spiral sequence allowed extraction of MWF map successfully, reducing scanning time for entire brain coverage drastically to 10 minutes (writing up the paper).

• Also worked on inverting DESPOT-1 (Driven Equilibrium Single Pulse Observation of T1) data for 3 pool models and developed an algorithm that worked fine on simulated data. The preliminary results have been quite encouraging.

• Tried fusion of T2-relaxometry data (taken using FSE CPMG sequence) with DESPOT1 (Driven Equilibrium Single Pulse Observation of T1) data using Kalman filter; however, the approach was aborted as the use of FSE T2-relaxometry and DESPOT1 together would have taken ~ an hour which would not have been clinically feasible. But, the fusion may be possible using T2-prep spiral sequence in place of FSE sequence of T2-relaxometry.

Research Assistant/ Associate, (01/2004- 05/2009)

Dept of Physics, Arizona State University, Tempe, AZ, USA

• Developed various models to understand the correlation and ordering of materials using IDL (Interactive Data Language).

• Developed a code for phase reconstruction/ image reconstruction of non-periodic objects using IDL. This project uses Bayesian statistics to retrieve the lost phase information.

• Developed a simulation code for multi-particle diffusion based on Fokker-Planck’s equation using Fortran.

• Research resulted in four publications in professional journals, Research presented in three conferences.

Teaching Assistant, (01/2003- 05/2004)

Dept of Physics, Arizona State University, Tempe, AZ, USA

• Teaching Assistant for two courses: PHY 121, PHY 122.

• Responsibilities included lecturing, test/homework design and grading

Research Assistant, (01/2003- 05/2004)

Indian Institute of Technology, Bombay, MH, INDIA

• Two semester of research experience during my Master’s at I. I. T. Mumbai (India). The topic was “Fabrication and Study of Polymer based Light Emitting Diode (PLED)”. The purpose of this project was to try to increase the efficiency of PLED

Publications

1. Kumar D., Nguyen T., Gauthier S., and Raj A. A Noise Robust Spatial Filter for Extracting Myelin Water Fraction Map from Fast Spin Echo T2-Relaxometry Data. (submitted)

2. Kumar D., Nguyen T., Gauthier S., and Raj A. A Clinically Feasible Approach to Myelin Water Fraction Imaging from T2-prep Spiral Sequence and Noise Robust Spatial Filter. (In Preparation)

3. Fan Lixin, Paterson D. J., McNulty I., Treacy M. M. J., Kumar D., Du P, Wiesner U., Gibson J. M., Characterization of medium-range order in noncrystalline systems by fluctuation X-ray microscopy, Proceeding of 5th International Conference on Synchrotron Radiation in Materials Science, Chicago July 30 -August 2, 2006.

4. Treacy M M J, Kumar D, Roug ee A, Zhao G, Buseck P, R, McNulty I, Fan L, Rau C and Gibson J M, Probing medium-range structural correl ations by fluctuation microscopy, J. Phys.: Condens. Matter 19 (2007).

5. Fan Lixin, Paterson David, McNulty Ian, Treacy M. M . J., Kumar Dushyant, Du Phong, Wiesner Ulrich, and Gibson J. Murray, “Characterization of Medium-Range Order in Self-Assembled Organic-Inorganic Hybrid by Fluctuation X-Ray Microscopy”, Mater. Res. Soc Symp. Proc. Vol. 960 (2007).

6. Treacy M M J, Kumar D, Roug ee A, Zhao G, Buseck P R, McNulty I, Fan L, Rau C and Gibson J M, Glimpsing order within the disarray, Journal of Physics: Conference Series 126 (2008).

References

• Available on request.

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