1. Bud Mishra Asking big questions:
Human Genome Technologies: Who are we (humans)? Sequencing genomes quickly, cheaply and accurately (haplotypically); Measuring gene expressions accurately.
Human Population Genomics: Where did we come from? Why aren’t we extinct? Polymorphisms; Migration Patterns; Selection of traits
Diseases: Why do we suffer? Genetic basis of diseases; Therapeutic interventions; Predictive and Individualized medicine: For cancer, neurodegeneration, chronic fatigue immune deficiency syndromes, autism, schizophrenia, etc.?
Immortality: Why do we die? Biochemical pathways involved in longevity and diseases…

2. Answering big questions needs ideas from computer science…
Human Genome Technologies: Developing bio- and nano-technologies; Single molecule analysis via optical and AFM imaging and mage processing. Algorithm design; Taming intractability by optimal experiment designs (thus exploiting probabilistic analysis and 0-1 Laws); Bayesian analysis and efficient statistical algorithms
Human Population Genomics: Modeling polymorphisms (single nucleotide and copy number polymorphisms); Statistical/Machine-learning techniques to determine population structure and stratification; Non-parametric models of underlying stochastic processes (a nontrivial generalization of graphical models); Detecting positive selection; Disease association studies…
Diseases: Systems biology approaches to understand disease progression; Computational models of somatic evolution in cancer; model checking using “hidden Kripke Models;” Causal analysis using PCTL and empirical Bayes false discovery control…
Immortality: Get involved before it is too late!! Achieve it, not through your research, but by not dying!!