Experience

Texas A&M University-Corpus Christi

• Assistant Professor of Computer Science

  • Aug 2023 - Present



Moody's Analytics

• New York, New York, United States

• Director - Artificial Intelligence and Machine Learning, Moody's

  • Feb 2022 - May 2023

  - Built AI/ML-driven products for explainable financial risk analytics via NLP-based financial event detection and analysis on unstructured data. - Collaborated with cross-functional teams to develop NLP pipeline for adverse media screening, implementing multiple components such as fine-grained sentiment analysis, named entity recognition, event detection and time-series analysis. - Built AI/ML-driven products for explainable financial risk analytics via NLP-based financial event detection and analysis on unstructured data. - Collaborated with cross-functional teams to develop NLP pipeline for adverse media screening, implementing multiple components such as fine-grained sentiment analysis, named entity recognition, event detection and time-series analysis.



Virginia Tech

• Graduate Teaching Assistant

  • Aug 2021 - Dec 2021



Moody's Analytics

• Machine Learning and Artificial Intelligence Intern

  • Jun 2021 - Jul 2021

  Developed a Transformer-based language model to extract named entities from news articles, evaluate associated financial sentiment, and identify article sentiment in a multi-task fashion Developed a Transformer-based language model to extract named entities from news articles, evaluate associated financial sentiment, and identify article sentiment in a multi-task fashion



Virginia Tech

• United States
• Higher Education
• 700 & Above Employee

• Graduate Teaching Assistant

  • Jan 2021 - May 2021

• Graduate Research Assistant

  • Aug 2020 - Dec 2020

  Machine Learning Algorithms and Their Ensembles for Botnet Detection- Applied deep learning methods (e.g., autoencoder-based time-series anomaly detection and GCN-based point anomaly detection) to botnet detection problems on the real-world dataset.

• Graduate Research Assistant

  • Jan 2018 - Aug 2020

  Forecasting Transformative Technologies Using Big Data- Developed the horizon scanning system for the discovery of emerging technologies using unstructured R&D outcomes (patents and papers) - Applied time-series forecasting models for forward citation forecasting- Implemented keyword extraction/expansion based emerging technology detection- Results have been published in IJCAI 2019 and AAAI 2021.

• Graduate Research Assistant

  • Jan 2017 - Dec 2017

  Cyber Attack Detection Using Social Media- Developed data-driven solutions for early cyber attack detection and categorization using unstructured data collected from Twitter.- Results have been published in CIKM 2017 and ASONAM 2019.

• Graduate Research Assistant

  • Aug 2015 - Dec 2016

  Early Model-Based Event Recognition Using Surrogates (EMBERS) Project- Developed models to detect, track and assess emerging social events from open source indicators such as social media and news via data-driven unsupervised/supervised algorithms.- Proposed several models that practice event detection on both unsupervised query expansion fashion and supervised spatiotemporal feature learning fashion targeting at different tasks such as airport threat assessment and transit service disruption detection.- Results have been published in IAAI 2017 and ASONAM 2018. Show less