About me

My name is Rishabh [RI-shub]. I work as an Industry Assistant Professor at New York University. I previously worked as a Postdoctoral Research Associate at Princeton University. I graduated with a Ph.D. from University of Illinois Chicago (UIC) where I was a member of the Complex and Sustainable Urban Networks (CSUN) Laboratory.  

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I was born in India in a family of Civil Engineers. My earliest childhood memories include visiting road construction sites with my dad. This (positively) changed the way I looked at the transportation systems. Growing up in a developing country, I personally witnessed the power and potential of transportation in improving the quality of lives. This motivated me to do my Bachelors, Masters, and Doctoral degrees in Civil Engineering (with my focus in transportation engineering).

 

While studying Civil Engineering, I became fascinated by the intricate connections between various urban infrastructures and their profound impact on urban life. Around the same time, I also came across the concepts of Artificial Intelligence and Causality, and quickly recognized their immense potential in addressing some of our most pressing challenges. This turned me into a coder and I started spending long hours estimating (and debugging) my machine learning models.

 

I greatly enjoy my research and teaching, and I look forward to continuing my journey in exploring Urban Science. 

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Apart from my research, I like drawing, sculpting, and traveling.