The Genome Question: Moore vs. Jevons with Bud Mishra

Please note the change in venue! See below for further details.**

It is often said that genomics science is on a Moore’s law, growing exponentially in data throughput, number of assembled genomes, lowered cost, etc.; and yet, it has not delivered the biomedical promises made a decade ago: personalized medicine; genomic characterization of diseases like cancer, schizophrenia, and autism; bio-markers for common complex diseases; prenatal genomic assays, etc. What share of blame for this failure ought to be allocated to computer science (or computational biology, bioinformatics, statistical genetics, etc.)? How can the computational biology community lead genomics science to rescue it from the current impasse? What are the computational solutions to these problems? What should be our vision of computational biology in the coming decade? We will discuss three systems: TotalReCaller, SUTTA-Assembler and Feature-Response-Curves, in this context.

Professor Bud Mishra is a professor of computer science and mathematics at NYU's Courant Institute of Mathematical Sciences, professor of human genetics at Mt. Sinai School of Medicine, and a professor of cell biology at NYU School of Medicine. He founded the NYU/Courant Bioinformatics Group, a multi-disciplinary group working on research at the interface of computer science, applied mathematics, biology, biomedicine and bio/nano-technologies. Prof. Mishra has a degree in Physics from Utkal University, in Electronics and Communication Engineering from IIT, Kharagpur, and MS and PhD degrees in Computer Science from Carnegie-Mellon University. He has industrial experience in Computer Science (Tartan Laboratories, and ATTAP), Finance (Tudor Investment and PRF, LLC), Robotics and Bio- and Nanotechnologies (Abraxis, OpGen, and Bioarrays). He is editor of Molecular Cancer Therapeutics, AMRX (Applied Mathematics Research Exchange), Nanotechnology, Science and Applications, and Transactions on Systems Biology, and author of a textbook on algorithmic algebra and more than two hundred archived publications. He has advised and mentored more than 35 graduate students and post-docs in the areas of computer science, robotics and control engineering, applied mathematics, finance, biology and medicine. He is an inventor of Optical Mapping and Sequencing (SMASH), Array Mapping, Copy-Number Variation Mapping, Model Checker for circuit verification, Robot Grasping and Fixturing devices and algorithms, Reactive Robotics, and Nanotechnology for DNA profiling. He is a fellow of IEEE, ACM and AAAS, a Distinguished Alumnus of IIT-Kgp, and a NYSTAR Distinguished Professor. He also holds adjunct professorship at Tata Institute of Fundamental Research in Mumbai, India. From 2001-04, he was a professor at the Watson School of Biological Sciences, Cold Spring Harbor Lab; currently he is a QB visiting scholar at Cold Spring Harbor Lab.

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The agenda for this event is:

5:30 - 6:30 pm: Attendees Register / Networking
6:30 - 6:35 pm: Welcome & Intro
6:35 - 7:35 pm: Presentations
7:35 - 8:00 pm: Q/A

**Please note the change in venue to the 8th Avenue side of the building. If you mistakenly go to the 9th avenue entrance, building security will ask you to walk around the building (on the outside!) to the 8th Avenue side.

The RSVP name will be provided to the building security in advance - so please do register with your real name (this will significantly speed up registration). To allow all participants (in the community) to get a clear visibility into their schedules, for all upcoming talks we will make seating reservable two weeks prior to the event.

Google volunteers will also be present at the event to answer any questions you may have, look for people who are wearing "Google Wear".

See you there!