Vedant Sachdeva

Vedant Sachdeva, PhD, is a seasoned Senior Data Scientist with experience spanning various roles in research and data science. Currently at The Trade Desk, Vedant develops representation learning frameworks and embedding models that enhance forecasting accuracy. Prior experience includes positions at Valo Health, focusing on time series prediction with transformers, and improving generative deep learning methods at Evozyne for protein engineering. Vedant holds a PhD in Biological and Physical Sciences from the University of Chicago, where research involved adaptive immune system responses and vaccination strategies. Additional academic experiences include a senior honors thesis in machine learning algorithms and teaching roles at Rutgers University, alongside significant research contributions in biophysics and statistical mechanics.