Daniel E Huang

Title: Innovations of Daniel E Huang in Probabilistic Programming

Introduction

Daniel E Huang is an accomplished inventor based in Cambridge, MA (US). He has made significant contributions to the field of probabilistic programming, particularly through his innovative patent that enhances data-parallel inference processes.

Latest Patents

Daniel E Huang holds a patent titled "Data-parallel probabilistic inference." This invention relates to a probabilistic programming compiler that generates data-parallel inference code to sample from probability distributions in models provided to the compiler. The compiler utilizes a modular framework that allows for the addition and removal of inference algorithm information, enabling it to generate inference code for various algorithms available to the compiler. The described compiler can produce parallelized inference code that facilitates efficient processing of inference computations, taking advantage of highly data-parallel architectures such as GPUs.

Career Highlights

Daniel E Huang is currently employed at Oracle International Corporation, where he continues to work on advancements in technology and programming. His expertise in probabilistic programming has positioned him as a valuable asset in the field.

Collaborations

Some of his notable coworkers include Jean-Baptiste Tristan and Guy Lewis Steele, Jr. Their collaboration has likely contributed to the innovative environment at Oracle International Corporation.

Conclusion

Daniel E Huang's work in probabilistic programming and his patent on data-parallel inference exemplify his commitment to advancing technology. His contributions are significant in the realm of data processing and programming efficiency.