Daniel (Dan) Sedra
BingAds @ Microsoft
Bellevue, WA, 94003
17 Bravern II
dmsedra at gmail dot com
I was an applied scientist in the BingAds group @ Microsoft. I worked on diverse problems including click prediction, causality modeling, feature selection, intent inference, and ranking.
Before that, I got my MSc in the Computer Science Department at Cornell University under Professor Kilian Weinberger. My research mainly focused on deep learning for image classification. I worked on various stochastic training paradigms for deep residual networks, including: stochastic depth (see  below), stochastic batch normalization, and network expansion. I also worked on collaborative crowdsourcing (see  below) for image annotation.
I received my BSc in Computer Science from Carnegie Mellon University in 2014. My undergraduate thesis advisor was Professor William Cohen.
- Applied Scientist 2016 - 2017
- Researcher, Cornell Spring 2015-2016
- Graduate Teaching Assistant, Cornell Fall 2014- Spring 2016
- Data Science Summer Fellowship, Georgia Tech Summer 2014
- Mobile Intern, Yahoo! Summer 2013
- Huang, G., Sun, Y., Liu, Z., Sedra, D. , and Weinberger, K. Deep Networks With Stochastic Depth. In the European Conference on Computer Vision , 2016. (pdf, arxiv)
- Upchurch, P., Sedra, D. , Mullen, A., Bala, K., Hirsh, H. Interactive Consensus Agreement Games for Image Labeling. In the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016. (pdf)
- Master's Thesis: I worked on stochastic training paradigms (see  above), stochastic batch normalization, and network compression.
- Undergraduate Thesis: I worked on new measures of semantic similarity.
- Sentiment Analysis: As part of the Yahoo! QE team I worked to develop a system for analyzing user feedback.
- CS2110 Algorithms and Data Structures, Cornell Spring 2016
- CS1110 Introduction to Computing using Python, Cornell Fall 2015
- CS6780 Advanced Machine Learning, Cornell Spring 2015
- CS4780 Machine Learning, Cornell Fall 2014
- CS15213 Introduction to Computer Systems, CMU Fall 2012