Develop signals to describe the quality of self driving cars’ behavior, using a range of techniques including machine learning, statistics, math, and physics. Design creative uses of simulation to measure those signals.

• Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta’s platforms.

• Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.

• Develop highly scalable classifiers and tools, leveraging machine learning, data regression, and rules-based models.

• Utilize technical research background, train new ranking models, and run experiments.

• Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.

• Developed analytical methods for the organization and use of genomic data.

• Developed a genotype imputation algorithm based on Bayesian network inference.

• Optimized the genotype imputation algorithm for large-scale applications and facilitated its deployment as a service.

Implemented a machine learning algorithm for transcription factor motif discovery based on mathematical modeling of protein–DNA interactions. Demonstrated the limitations of the probabilistic model of protein–DNA binding specificity using simulations.