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<Last Updated: Feb 2020>

 

Senior Machine Learning Researcher, Prowler.io, Cambridge, UK.

Prowler.io is an AI platform for decision-making in a complex, dynamic and uncertain world. As a senior machine learning researcher at Prowler.io, I work on developing online decision-making systems.

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Research Interests

My research interests include but is not limited to:

  • Sequential Inference and Decision Making
  • Multi-Armed Bandits and Expert Prediction Theory
  • Stochastic Optimization
  • Online Learning
  • Non-Parametric Bayesian Optimization (e.g. on GP Models using methods such as Thompson Sampling)
  • Game Theory and Strategic Learning

 

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Experience

Postdoctoral Researcher, Electrical Engineering Department, Princeton University, Princeton, NJ.

I joined professor Mung Chiang’s (currently at Purdue University) and professor Yuxin Chen’s (Princeton University) research groups as a postdoctoral research associate. At Princeton University, I worked on distributed and real time optimization and machine learning over heterogeneous computational nodes.

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Education

PhD in Electrical and Computer Engineering (Minor Degree in Applied Mathematics), Cornell University, Ithaca, NY, 2017.

I revived my PhD degree from the school of electrical and computer engineering at Cornell University  in 2017 under the supervision of professor Qing Zhao.

My dissertation focused on Sequential Inference and Decision Making, Online Learning and Multi Armed Bandit problems. I have worked on time-varying models, risk-averse measures, hierarchical observations, and non-parametric composite hypotheses .

Master in Electrical and Computer Engineering, University of California, Davis, CA, 2013.

 

Contact Information

Email: sv388[at]cornell.edu