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Project Medical

Location:
San Francisco, CA
Posted:
March 03, 2017

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Resume:

Aarti Jajoo

************@*****.*** Houston, TX-**054 347-***-****

SUMMARY

Postdoctoral fellow with in-depth experience in Applied Statistical Analysis, Optimization, Algorithmic Development, Mathematical Modeling, Machine Learning. Intensive programming experience in Matlab and R. Interested in working on challenging industry problems where advanced mathematical and statistical techniques can be applied.

COMPUTER SKILLS

Programming: Matlab, R, Python, Shell Scripting, Mathematica, C

OS: Windows, Linux, Mac OS

EDUCATION

University of Houston, Houston, Texas

Ph.D. in Applied Mathematics Dec 2011

Thesis Title: Diffeomorphic Matching and Dynamic Deformable Shapes

M.S. in Applied Mathematics Aug 2007

University of Rajasthan, Jaipur, India

M.S. in Mathematics May 2005

B.A. in Economics May 2003

POSTDOCTORAL RESEARCH ASSOCIATE EXPERIENCE

Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas July 2016-Present

Project: Patterns of Correlated DNA Methylation in Sever Childhood Malnutrition (SCM)

Analyze and interpret Big Data sets consisting of as many as 400,000 features per subject

Develop hybrid unsupervised clustering algorithms to extract statistically significant differentially correlated structures of these features

Utilized R software to implement and test these algorithms and perform case control studies

Develop appropriate multiple testing algorithms and noise cancellation techniques

Develop a ShinyApp in R for users to analyze and visualize DNA methylation data

Department of Mathematics, University of Houston, Houston, Texas Jan 2012-May 2016

Project: A Novel Imaging Informatics Platform for Craniomaxillofacial (CMF) Surgery

Developed a novel algorithm called LAGER (Landmark Geometric Routine) using non-linear optimization and morphometric techniques to calculate accurate frame of reference for deformed human faces.

Routinely interacted with CMF surgeons and other clinical personnel to create robust algorithms as necessary to maintain medical viability in surgical planning

Used Matlab to write a package that is currently in use by doctors in Methodist Hospital, Houston as part of their surgical planning process

Project: Control of the Acceleration Field for Topology-Preserving Registration of Multiple Surfaces

Derived new minimization function involving Hilbertian norm of acceleration fields and geometric shape matching terms to reconstruct topology-preserving deformation of shapes given a finite number of snapshots

Designed an algorithm to solve the minimization problem and implemented it for multiple snapshots of surfaces and curves

Obtained deformation trajectories that have continuous tangents as oppose to the existing methods that resulted in discontinuous tangents

RESEARCH ASSISTANT EXPERIENCE

Department of Mathematics, University of Houston, Houston, Texas Aug 2007-Dec 2011

Project: Reconstruction of 3D Movies of Deformable Objects on the Basis of its Available Multiple Snapshots

Contributed to the development of novel diffeomorphic matching techniques to achieve optimal shape matching for multiple snapshots

Treated our optimal control problem within a variational framework by means of Reproducing Kernel Hilbert Spaces (RKHS)

Vectorized existing code of my lab and achieved 25 times faster runtime

Used empirical results and numerical analysis techniques to estimate several parameters that were required to obtain numerical solution of control problems

Invited to Johns Hopkins University for a research visit to work on a metamorphosis project based on diffemorphic matching techniques

Project: Quantitative Analysis of Human Mitral Valve (HMV) Strain

Implemented previously described diffemorphic matching algorithms on patient specific spline models that were computed using real time 3-D echocardiographic images of mitral valve

Developed novel methods to quantitatively analyze impact of non-resectional dynamic repair surgeries on patients

Computed Mitral Valve Strain for patient specific HMV models. These techniques were then used to perform comparative studies between normal, operative and post-operative patients

SHORT TERM PROJECTS

Whole Genome Graph Creation for Multiple Assemblies July 2016

Extended Needlman Wunch Algorithm (based on dynamic programming) to obtain a unique global assembly by finding the most-optimal and compatible combination of local assemblies. Implemented the algorithm in Python.

Numerical Solution of Gauss-Pitaviski Condensation Equation Fall 2010

Implemented Strang splitting scheme using Finite Difference Methods in Matlab

Novel parameters of Human Mitral Valve Annulus for comparative studies Fall 2010

Developed and implemented code in Matlab to compute novel geometric features of patient’s mitral valve annulus that were treated as elastic-band like objects and were modeled using splines

Control problem constrained with parabolic equations Fall 2008

Implemented algorithms using Finite Elements Methods

ADDITIONAL EXPERTISE

Control Problems, Fast Fourier Transforms, Automatic Learning, Support Vector Machines (SVM), Numerical Methods to solve ODEs and PDEs, Machine Learning, Imaging, Computational Anatomy, Epigenetics, Stochastic Process

SELECTED PUBLICATIONS

R. Azencott, R. Glowinski, J. He, R. H. W. Hoppe, A. Jajoo, Y. Li, A. Martynenko, S. Benzekry, S. H. Little, W. A. Zoghbi, Diffeomorphic matching and dynamic deformable surfaces in 3D medical imaging, Computational Methods in Applied Mathematics, 2010

S. Ben Zekry, G. Lawrie, S. Little, W. Zoghbi, J. Freeman, A. Jajoo, S. Jain, J. He, A. Martynenko, R. Azencott, Comparative Evaluation of Mitral Valve Strain by Deformation Tracking in 3D- Echocardiography, Cardiovascular Engineering and Technology, Springer, 2012

S BenZekry, S Jain, S K. Alexander, Y. Li, A. Aggarwal, A. Jajoo, Stephen H. Little, Gerald M. Lawrie, William A. Zoghbi, Novel Parameters of Global and Regional Mitral Annulus Geometry in Man: Comparison Between Healthy Normals and Organic Mitral Regurgitation, Before and After Mitral Valve Repair, European Heart Journal Cardiovascular Imaging, Oxford University Press, July 2015

J. Gateno, A. Jajoo, M. Nicol, J. Xia, The Primal Frame of Reference of The Head: A New Concept, Journal of Oral and Maxillofacial Surgery, Elsevier, Dec 2015

S. BenZekry, J. Freeman, A. Jajoo, J. He, S. Little, G. Lawrie, R. Azencott, W. Zoghbi.“Quantitation of Mitral Valve Strain from Real-time 3-Dimensional Echocardiography in Man: Comparison of Normal Valves with Organic Mitral Regurgitation, Circulation, American Heart Association, Jan 2016

A. Jajoo, M. Nicol, J. Gateno, J. Xia, et. al., Computing a midsaggital plane for asymmetric human faces, submitted Plos-One 2016

INVITED PRESENTATIONS & WORKSHOPS

Biomedical Data Science Hackathon, Cold Spring Harbor Laboratory, Oct, 2016

Calculating facial midsagittlal plane of human subjects with craniomaxillofacial surgeries, Contemporary Mathematical Challenges in the Life Sciences, Texas A & M, College Station, May, 2016

Quantitative analysis of biological shapes extracted from medical images, Weekly Seminar, Baylor College of Medicine, Houston, Dec, 2015

Control of the acceleration field for diffeomorphic matching of multiple 2D shapes, Presented at Shape Focus Research Group Meeting, CIS, Baltimore, MD, May 2013

A new approach to handle multiple snapshots in order to obtain smooth transitions in reconstructed 3D movies, CMLA, ENS Cachan, France, May 2012

Diffeomorphic matching of dynamic soft shapes, IMS, Imperial College, London, May 2010

ACHIEVEMENTS AND AWARDS

Was among the 50 students selected from all over India to participate in MTTS (Mathematical Training and Talent Search), 2004

Featured in Limca Book of Records, as the youngest woman to graduate in India - M.S. at the age of 16 years and B.A. degree at the age of 14 years, 2005 & 2003

Received several national level and state level awards for achieving academic success at a very young age, 2000-05



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