Hi! My name is Kalanand Mishra. I am a data scientist in silicon valley. I grew up in small town India and moved to the United States in 2003 to attend graduate school. From the childhood I have been very interested in how the nature works at the most fundamental level, hence my fascination with evidence-based science and data analysis. While in graduate school, I investigated the nature of the subatomic world at Stanford Linear Accelerator Center. In particular, I performed measurements of matter-antimatter asymmetry in quark decays. My results, published in Physical Review during 2006−2008, confirmed a ground-breaking idea that led to Nobel prize for Kobayashi & Maskawa. I defended my Ph.D. thesis in 2008 and took up postdoctoral position at Fermilab to work at CERN's Large Hadron Collider. There I made the first measurements of high energy jets and the W and Z bosons, and led a team effort to discover Higgs boson (also known as the "god particle") that culminated in Nobel prize for Higgs & Englert in 2013.

Since the early 2010s Big Data has emerged as a transformative science by making it possible to learn about individual preferences and apply this knowledge to greatly enhance human experience and productivity. To dig into this exciting field of large-scale data analysis I joined Vectra Networks in summer 2014, where I currently work on developing new approaches to detect cybersecurity threats. My broad interests include hypothesis testing, anomaly detection, and machine learning. More about my latest projects here. In my free time I like traveling and volunteering for technology and environment related causes.