Experience

Veridise
• United States
• Computer and Network Security
• 1 - 100 Employee
• Chief Research Scientist

  • Jul 2022 - Present


University of California, Santa Barbara

• United States
• Higher Education
• 1 - 100 Employee

• Research Assistant

  • Jul 2019 - Present

• Teaching Assistant

  • Sep 2017 - Jun 2019

  Teaching Assistant for CMPSC 40: Foundations of Computer Science (Discrete Mathematics) (Fall 2017) Teaching Assistant for CMPSC 16: Problem Solving with Computers - I (Spring 2018) Teaching Assistant for CMPSC 8: Introduction to Computer Science (Summer 2018) Teaching Assistant for CMPSC 165A: Artificial Intelligence (Fall 2018) Teaching Assistant for CMPSC 4: Computer Science Bootcamp (Winter 2019) Teaching Assistant for CMPSC 130A: Data Structures and Algorithms I (Spring 2019)

• Research Assistant

  • Jan 2018 - Mar 2018



University of Washington

• United States
• Higher Education
• 700 & Above Employee

• Visiting Researcher

  • Aug 2019 - Sep 2019

  Ph.D. visiting researcher hosted by Prof. Ras Bodik Ph.D. visiting researcher hosted by Prof. Ras Bodik



The University of Texas at Austin

• United States
• Higher Education
• 700 & Above Employee

• Visiting Researcher

  • Jun 2019 - Aug 2019

  Ph.D. visiting researcher hosted by Prof. Isil Dillig Ph.D. visiting researcher hosted by Prof. Isil Dillig



iPIN.com

• Technology, Information and Internet
• 1 - 100 Employee

• Research Intern

  • Jul 2015 - Jun 2017

  • iPIN Inc. is an artificial intelligence technology provider specializing in automation robots such as career manager robot, legal assistant robot, human resource management robot, and college selection robot. • Research concentrated on modeling semantic text similarities between job descriptions and resumes/CVs. • Developed a job hiring framework that recommends resumes/CVs for specific job requirements and matches prospective jobs for resumes/CVs, with backend Neural Networks that… Show more • iPIN Inc. is an artificial intelligence technology provider specializing in automation robots such as career manager robot, legal assistant robot, human resource management robot, and college selection robot. • Research concentrated on modeling semantic text similarities between job descriptions and resumes/CVs. • Developed a job hiring framework that recommends resumes/CVs for specific job requirements and matches prospective jobs for resumes/CVs, with backend Neural Networks that measure the relative rankings given jobs/resumes/CVs as inputs based on an adapted pairwise learning-to-rank paradigm. • Proposed a matrix-based algorithm that formalizes various job titles and skill names using the inherent rela- tions between chronological changes of job titles and co-occurences of skill names, with which features a fast relatedness detection among job titles and skill names became feasible. • Detected, modeled and utilized the acoustic patterns from speeches as a auxiliary task (in a multi-task learning or transfer learning framework) to enhance the performance of NLP tasks such as sentence compression, based on the prevailing assumption that speech characteristics (intensity, duration, pitch, etc.) reveal text intentions. • Performed experimental data analysis tasks and developed tentative parallel/distributed algorithms (e.g., large-scale/distributed matrix multiplication/operations) based on the Julia programming language. Show less • iPIN Inc. is an artificial intelligence technology provider specializing in automation robots such as career manager robot, legal assistant robot, human resource management robot, and college selection robot. • Research concentrated on modeling semantic text similarities between job descriptions and resumes/CVs. • Developed a job hiring framework that recommends resumes/CVs for specific job requirements and matches prospective jobs for resumes/CVs, with backend Neural Networks that… Show more • iPIN Inc. is an artificial intelligence technology provider specializing in automation robots such as career manager robot, legal assistant robot, human resource management robot, and college selection robot. • Research concentrated on modeling semantic text similarities between job descriptions and resumes/CVs. • Developed a job hiring framework that recommends resumes/CVs for specific job requirements and matches prospective jobs for resumes/CVs, with backend Neural Networks that measure the relative rankings given jobs/resumes/CVs as inputs based on an adapted pairwise learning-to-rank paradigm. • Proposed a matrix-based algorithm that formalizes various job titles and skill names using the inherent rela- tions between chronological changes of job titles and co-occurences of skill names, with which features a fast relatedness detection among job titles and skill names became feasible. • Detected, modeled and utilized the acoustic patterns from speeches as a auxiliary task (in a multi-task learning or transfer learning framework) to enhance the performance of NLP tasks such as sentence compression, based on the prevailing assumption that speech characteristics (intensity, duration, pitch, etc.) reveal text intentions. • Performed experimental data analysis tasks and developed tentative parallel/distributed algorithms (e.g., large-scale/distributed matrix multiplication/operations) based on the Julia programming language. Show less