Rishi Khan

Rishi Khan is a professional with dual expertise in Computer Science and Computational Biology. In the field of computer science, he excels in network security, database development, compilers, and operating systems, with a current focus on high-performance computing utilizing many-core chip architectures. In the realm of Computational Biology, Rishi has a strong background in molecular biology, gene expression acquisition, and statistical analysis. He has experience in modeling neural systems, particularly in studying the response to acute hypertension in the nucleus tractus solitarius. Furthermore, he is skilled in handling microarrays, next-generation sequencing systems, and has practical experience with animal experimentation like vascular surgeries on rats and brain dissections.

Rishi Khan is also actively developing his management and business development skills to complement his technical expertise. His language proficiency includes XML, C++, Java, SQL, CSS, PHP, and more, making him fluent in various programming languages. Additionally, he possesses an in-depth understanding of UNIX internals, such as Linux and BSD, as well as compiler internals, particularly in GCC and Open64.

With a Ph.D. in Computational Biology from the University of Delaware and Post-Doctorate studies in Next Generation DNA Sequencing Technology Development at Thomas Jefferson University, Rishi Khan has a solid educational foundation. He also holds a Bachelor of Science in Computer Engineering from the University of Delaware.

Throughout his career, Rishi Khan has held key positions in several organizations. Currently, he serves as the President and Chief Technical Officer at Extreme Scale Solutions. In the past, he served as the VP of Research and Development at ET International, Inc., Chief Science Officer at Perfect Expression, LLC, Consultant at ET International, and also managed BioIT and Delaware Info Solutions Center as their owner.

Rishi Khan's expertise spans bioinformatics, statistical analyses (especially with multiple tests), biochemical modeling, and various computer science domains, making him a versatile professional in both Computer Science and Computational Biology.