Sameena Shah

Managing Director, JPMorgan AI Research
Sameena is a managing director at J.P. Morgan AI Research. Previously, Sameena was Managing Director, Head of Data Science at S&P Global Ratings where she led the firm’s strategy and development for Augmented Intelligence. Prior to that, Sameena worked at Thomson Reuters for seven years. Sameena has a PhD in Distributed Machine Learning and a Masters in Computer Science from IIT Delhi. She is the winner of the top PhD in the country award, Cloudera top AI/ML application award, and several best paper awards and recognitions. She has contributed more than 60 publications and 30 patents. She was the invited speakers at IJCAI 2021 and KDD 2022. She organized several workshops in AAAI, KDD, ICML, etc.

Xiaodan Zhu

Associate Professor, Queen’s University
Xiaodan is Mitchell Professor and Associate Professor at the ECE Department of Queen’s University Canada. He is a Faculty Affiliate at the Vector Institute for Artificial Intelligence. His recent research interests include natural language reasoning, neural symbolic models for NLP, and NLP applications on financial and legal text analytics. Xiaodan was a co-organizer for the SemEval 2019 and 2020 workshops. He has also co-organized the KDD WISDOM workshops in 2018 and 2019. His other service roles include chair for the 33rd Canadian Conference on AI and the best paper selection committee member for ACL 2019 and COLING 2020. Xiaodan has actively served on organizing committees for different NLP conferences.

Gerard de Melo

Professor, Hasso Plattner Institute and the University of Potsdam
Gerard de Melo is a Full Professor at the Hasso Plattner Institute and the University of Potsdam, where he is a Professor for Artificial Intelligence and Intelligent Systems and leads the corresponding research group. Previously, he was an Assistant Professor at Rutgers University in New Jersey and at Tsinghua University in Beijing. Prior to that, he was a Post-Doc at ICSI/UC Berkeley and received his doctoral degree at the Max Planck Institute for Informatics. He has published around 200 papers on NLP, AI, and social media analytics, with Best Paper awards at CIKM 2022, CIKM 2010, ICGL 2008, the EACL 2021 LANTERN workshop, and the NAACL 2015 Workshop on Vector Space Modeling, in addition to the WWW 2011 Best Demonstration Award, among others. Further details are available at http://gerard.demelo.org.

Armineh Nourbakhsh

Research Director, JPMorgan AI Research
Armineh Nourbakhsh is a Director at J.P. Morgan AI Research, where she leads a team on multimodal document AI. Her career spans a decade of research in NLP in areas such as targeted sentiment analysis, event detection and verification, information extraction, and social data mining. Prior to J.P. Morgan, Armineh was a Director of Data Science at S&P Global, where she led efforts to transform operational workflows related to the ingestion and processing of financial disclosures. In addition to numerous publications and patents, Armineh’s research has been deployed in award-winning AI-driven technologies such as Reuters Tracer, Westlaw Quick Check, and the SocialZ Verve index. She has previously organized workshops at AAAI and ICAIF, and served on the Program Committee of several conferences.

Xiaomo Liu

Research Director, JPMorgan AI Research
Dr. Liu is an AI Research Lead at JP Morgan AI Research focusing on machine learning and natural language processing to improve productivity in financial services. Prior to JP Morgan, Xiaomo was a Director of Data Science at S&P Global and a senior research scientist at Thomson Reuters. His work has been reported by numerous news media and won industry awards. Xiaomo holds a PhD in computer science from Virginia Tech and published more than 30 peer reviewed papers and 3 US patents. Xiaomo has serviced as PCs in various conferences like KDD, IJCAI, CIKM, IWSC etc. He also organized three AAAI workshops.

Zhiqiang Ma

Research Lead, JPMorgan AI Research
Zhiqiang is a research lead at JP Morgan AI Research. His work concentrates on natural language processing such as information extraction from financial documents, news text clustering and classification, event detection, and topic modeling. Previously, he was a Senior Data Scientist at S&P Global Ratings. He received his Ph.D. in computer science from UNC at Charlotte. He had co-organized three AAAI workshops and served as PC members for multiple conferences and workshops.

Charese Smiley

Research Lead, JPMorgan AI Research
Charese Smiley is an AI Research Lead on the AI Research team at J.P. Morgan. Her research interests center around relation extraction and entity extraction, knowledge graphs, and question-answering. Before joining J.P. Morgan, Charese worked at Capital One and Thomson Reuters. She holds a Ph.D. in Computational Linguistics from Indiana University. Charese has served on the organizing committee for AI in Africa for Sustainable Economic Development at ICAIF from 2020-2022, the ICML 2021 Workshop on Representation Learning for Finance and e-Commerce Applications, and as co-lead of the 2021 and 2022 Women in AI and Finance Workshops.

Zhiyu Chen

Research Scientist, Meta AI
Zhiyu Chen is a research scientist at Meta AI. She obtained her Ph.D. in Computer Science at the University of California, Santa Barbara. Her research interest lies in natural language generation, question answering, and dialogue. She publishes and serves as program committee/senior program committee members in ACL, NAACL, EMNLP, AAAI, EACL, etc. She had co-organized the first Workshop on Structured and Unstructured Knowledge Integration (SUKI) at NAACL 2022.