I particularly enjoy the challenges in multidisciplinary projects, and hence I wish to make a career in that direction. I have collaborated with a cheminformatics professor, mathematician, statistician, experimental scientists, and even civil engineers. I am trained to deal with vast biological/ biomedical data of any type. I love to work in a diverse and open workplace where creativity, diversity, and innovation are valued.

I am currently working as a Postdoctoral Fellow at Genentech in the Prescient Design division. I have completed a Ph.D. degree in Computational Biology at Iowa State University in the Jernigan lab. Before enrolling in the Ph.D. degree, I completed my Masters degree in Bioinformatics with a Bachelors degree in Biotechnology from the University of Pune, India.

During my Ph.D. I have successfully conceptualized, initiated, designed, and implemented several novel and innovative ideas, carrying them out to successful completion that resulted in seven publications. I received Research Excellence Award for it. I have also built a software package called PACKing and Motion Analysis (PACKMAN) around my research, which has tens of thousands of downloads on the Python Package Index (PyPI) (https://github.com/Pranavkhade/PACKMAN). The ultimate goal of my thesis has been to explain the global motions of the proteins using protein packing information, and I have made significant progress with this. Along with the research work, I have also completed various courses on diverse topics such as Structural Bioinformatics, Statistical Bioinformatics, Bioinformatics Algorithms, Systems Biology, and many more.

During my Masters training, I learned more about Bioinformatics in Cell Biology, Immunology, Structural Biology, Genetics, Omics, Evolution, Cheminformatics, Data Mining, and Biostatistics. Overall, my Masters degree included a detailed overview of Bioinformatics. I learned everything from predicting epitomes given viral protein sequences to relating Single Nucleotide Polymorphism to phenotypes. My Masters research project was in Cheminformatics, where I designed a method to overcome the shortcomings of stochastic conformer generators.