Smita Krishnaswamy was trained as a computer scientist with a Ph.D. from the University of Michigan's EECS department where her research focused on algorithms for automated synthesis and verification of nanoscale logic circuits that exhibit probabilistic effects. During her Ph.D., she received a best paper award at DATE 2005 (a top conference in the field of design automation), and an outstanding dissertation award. She published numerous first-author papers on probabilistic network models and algorithms for VLSICAD. In addition, her dissertation was published as a book by Springer in 2013. Following her Ph.D., she joined IBM's TJ Watson Research Center as a scientist in the systems division, where she focused on formal methods for automated error detection. Her Deltasyn algorithm was eventually utilized in IBMs p and z series high-performance chips. She then switched her research efforts to biology. Her postdoctoral training was completed at Columbia University in the systems biology department where she focused on learning computational models of cellular signaling from single-cell mass cytometry data.