Dr. Bud Mishra

The PhysOrg article New nanotechnology able to examine single molecules, aiding in determining gene expression said

Previously, researchers have been able to determine gene expression using microarray technology or DNA sequencing. However, such processes could not effectively measure single gene transcripts — the building blocks of gene expression. With their new approach, the researchers of the work reported in Nanotechnology were able to isolate and identify individual transcript molecules — sensitivity not achieved with earlier methods.
 
“We are likely to see more of these kinds of highly multi-disciplinary research aimed at single molecule sequencing, genomics, epigenomic, and proteomic analysis in the future,” added Bud Mishra, a professor of Computer Science, Mathematics, and Cell Biology from NYU’s Courant Institute and School of Medicine, and one of these pioneering researchers. “The most exciting aspect of this approach is that as we understand how to intelligently combine various components of genomics, robotics, informatics, and nanotechnology — the so-called GRIN technology — the resulting systems will become simple, inexpensive, and commonplace.”

Bud Mishra, Ph.D. is Professor of Computer Science, Mathematics and Cell Biology at Courant Institute of Mathematical Sciences and NYU School of Medicine and Adjunct Professor at the Tata Institute of Fundamental Research in Mumbai, India. He founded the NYU/Courant Bioinformatics Group, a multi-disciplinary group working on research at the interface of computer science, applied mathematics and biology.
 
Bud has developed several sophisticated technologies, algorithms, and statistical analysis tools to attack biological problems that range from deciphering the structure of a genome to understanding chromosomal aberrations and their relation to cancer genetics. He is a coinventor of Optical Mapping, Array Mapping, and Copy-Number Variation Mapping in biotechnologies. He is on the Editorial Boards of Molecular Cancer Therapeutics, Transactions on Computational Systems Biology and AMRX: Applied Mathematics Research eXpress.
 
Bud coauthored Multi-Objective Evolutionary Optimization of Agent Based Models: An Application to Emergency Response Planning, Complexities, Catastrophes and Cities: Agent-Based Analysis of Large-Scale Urban Emergency Response, Emergency Response Planning for a Potential Sarin Gas Attack in Manhattan using Agent-based Models, Transactions on Computational Systems Biology VII (Lecture Notes in Computer Science), Algorithmic Algebra (Monographs in Computer Science), From Bytes to Bedside: Computational Biology for Biomedical Translational Research, Single Molecule Transcription Profiling with AFM, Multiscale Strip Constructions and Their Application to Gene Expression and ChIP-on-chip Data, Interpreter of Maladies: Redescription Mining Applied to Biomedical Data analysis, and COMBAT: Search Rapidly For Highly Similar Protein-Coding Sequences Using Bipartite Graph Matching. Read the full list of his publications!
 
His patents include Computer-Based Methods and Systems for Sequencing of Individual Nucleic Acid Molecules, Genomics via Optical Mapping Ordered Restriction Maps, System and Method for Surface Rendering of Internal Structures within the Interior of a Solid Object, and Reactive Robotic Gripper.
 
Bud earned a Ph.D. & M.S. in Computer Science from Carnegie Mellon University, USA in 1985 & 1982. He earned a B.Tech. in Electronics and Electrical Communication Engineering from IIT Kharagpur, India in 1980 and a degree in Physics from Utkal University as well.