About Me

I am a graduate student in Physics/Applied Math at Princeton University. I completed my undergraduate education in Engineering Physics, with Honors in Physics, at the Indian Institute of Technology, Bombay , in 2011.

I currently work with Prof. Amit Singer on developing algorithms for 3D structure reconstruction of macromolecules using cryo-electron microscopy. The motivation for this problem is to answer biological questions related to small protein structures that have so far remained unresolved. We employ techniques from machine learning, statistical estimation theory, convex optimization, signal processing and numerical linear algebra. I am interested in applying machine learning and statistical techniques to solve real world problems, broadly in the computer vision and NLP space.

The algorithms that I developed during my PhD are available in our open source software toolbox "ASPIRE", available for download here.



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Interests


High Dimensional Data, Machine learning, Computer Vision, Natural Language Processing, Signal and Image Processing, Statistical Inference

Outside research, I enjoy painting, photography, singing, adventure sports and reading.

Publications

T. Bhamre, T. Zheng, and A. Singer "Anisotropic twicing for single particle reconstruction using autocorrelation analysis", submitted (2017).


T. Bhamre, Z. Zhao, and A. Singer "Mahalanobis Distance for Class Averaging of Cryo-EM Images", 14th IEEE International Symposium on Biomedical Imaging (2017).


T. Bhamre, T. Zhang, and A. Singer "Denoising and Covariance Estimation of Single Particle Cryo-EM Images", Journal of Structural Biology, 195 (1), pp. 72-81 (2016).


T. Bhamre, T. Zhang, and A. Singer "Orthogonal Matrix Retrieval in Cryo-Electron Microscopy", 12th IEEE International Symposium on Biomedical Imaging, pp. 1048--1052 (2015)


David Aasen, Tejal Bhamre, and Achim Kempf, "Shape from Sound: Toward New Tools for Quantum Gravity", Phys. Rev. Lett. 110, 121301 (2013).


T. Bhamre, R. Marsland III, I. K. Kominis, B. H. McGuyer, and W. Happer, "Collision kernels from velocity-selective optical pumping with magnetic depolarization", Phys. Rev. A 87, 043412(2013) .

Experience

Research Scientist Intern at Amazon (Summer 2015)

Natural Language Processing, Machine Learning, Text Mining, Analytics


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Summer Research Assistant at University of Waterloo (Summer 2010, 2011)

Department of Applied Mathematics


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Summer Research Student at CERN (Summer 2010)

ALICE experiment


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Visiting Research Fellow at TIFR (Summer 2009)

Department of Astronomy


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Teaching