Nicholas Vadivelu

Nicholas Vadivelu is a skilled Quantitative Researcher and Data Scientist at Citadel, where work focuses on data strategies since July 2022. Prior experience includes research at Uber's Advanced Technologies Group, concentrating on deep learning for self-driving vehicles, and internships at Google Brain, where Nicholas contributed to TensorFlow KFAC for neural network optimization. Additional roles at John Hancock and NVIDIA involved machine learning for insurance fraud detection and accelerating BERT inference, respectively. Nicholas has also gained significant research experience as a Research Assistant at the University of Waterloo, collaborating on projects related to probabilistic programming, private machine learning, and neural networks. An educational background includes a Bachelor of Mathematics in Computer Science and Statistics from the University of Waterloo, with a GPA of 3.93, following a high school diploma from Marc Garneau Collegiate Institute.