Sadid Hasan, PhD.
AI Lead at Microsoft
Cambridge, MA, USA
email: sadidhasan at gmail
"The questions are always more important than the answers."
- Randy Pausch, The Last Lecture
Sadid Hasan
  Home   |   Publications   |   Resume   |   Students   |   Links   |   Contact Me  

I am a member of the leadership team in Microsoft's AI Development Acceleration Program (MAIDAP) at the Microsoft New England Research & Development (NERD AI) center. I lead the teams to drive the state-of-the-art in AI by developing advanced AI capabilities, products, and solutions applicable across the enterprise, as well as growing the next generation of AI leaders who can make a transformational impact to the world.

Previously, I was an Executive Director of AI at CVS Health, where I led the team responsible for AI-based clinical care planning initiatives. Prior to that, I was a Senior Scientist and Technical Lead of the AI Group at Philips Research North America, where I focused on solving various Natural Language Processing (NLP) problems such as Clinical Information Extraction, Clinical Question Answering, Natural Language Inference, Paraphrase Generation, and Medical Image Caption Generation using Deep Learning.

Before joining Philips, I was an NSERC-Engage Post Doctoral Fellow at the Department of Mathematics and Computer Science, University of Lethbridge, Canada, from where I obtained my PhD. in Computer Science with a specialization in NLP and Machine Learning. My PhD. dissertation, entitled "Complex Question Answering: Minimizing the Gaps and Beyond", was nominated for the 2014 CAGS/UMI Distinguished Doctoral Dissertation Award. My doctoral committee members were: Yllias Chali, Dragomir Radev, Guy Lapalme, Sajjad Zahir, Kevin Grant, and Howard Cheng.

Recent News:

- (Jun, 2022) Twelve new patents granted worldwide. Thanks to co-inventors.
- (Apr, 2022) Invited speaker at ODSC, Boston, 2022 (talk).
- (Dec, 2021) AI Content Advisor for CMU Executive Education.
- (Nov, 2021) Content Board Member for Data Science Salon.
- (Sept, 2021) Ranked 1st in Annual CVS Health Analytics Venture Competition.
- (Jun, 2021) Editorial Reviewer for Developing Modern Database Applications with PostgreSQL.
- (May, 2021) Mentor at Data Science for All (DS4A) initiative, 2021.
- (May, 2021) Paper on "Effective Healthcare Guidelines for Diabetics" accepted in AcademyHealth, 2021.
- (May, 2021) Committee Member of Hugging Face BigScience AI Research Initiative, 2021.
- (Apr, 2021) Invited Speaker at the Computer Science Guest Speaker Series, Lakehead University, Canada.
- (Mar, 2021) Keynote Speaker at the Re.Work AI in Healthcare Virtual Summit, 2021.
- (Mar, 2021) Paper on "ImageCLEF 2021 Tasks and Applications" accepted in ECIR-2021.
- (Mar, 2021) Co-organizing the 2nd Medical Visual Question Generation challenge, 2021.
- (Mar, 2021) Co-organizing the 4th Medical Visual Question Answering challenge, 2021.
- (Dec, 2020) Paper on "Twenty Years of Confusion in Human Evaluation" accepted in INLG-2020.
- (Nov, 2020) Linguistics Puzzle Contributor to The Language Lover’s Puzzle Book.
- (May, 2020) Mentor at Data Science for All (DS4A) initiative, 2020.
- (Apr, 2020) Invited Speaker at the Open Data Science Virtual Conference (ODSC) 2020, Boston, MA.
- (Apr, 2020) Paper on "Face-to-Face Assessment Prioritization for Medicare" accepted in AcademyHealth.
- (Apr, 2020) Paper on "ImageCLEF 2020 Tasks and Applications" accepted in ECIR-2020.
- (Feb, 2020) Invited to Speak at Auburn University.
- (Jan, 2020) Co-organizing the 1st Medical Visual Question Generation challenge, Thessaloniki, Greece.
- (Jan, 2020) Co-organizing the 3rd Medical Visual Question Answering challenge, Thessaloniki, Greece.
- (Jan, 2020) Co-organizing the KDH-2020 Workshop at ECAI-2020, Santiago, Spain.



Past News:

- (Nov, 2019) Two papers on "Clinical Information Extraction" accepted in IEEE-BIBM AIBH-2019.
- (Oct, 2019) Invited Speaker at the AIWorld Conference & Expo, 2019, Boston, MA.
- (Oct, 2019) Keynote Panelist: AI Adoption In Healthcare at the Global AI Conference, 2019, Boston, MA.
- (Oct, 2019) Invited Speaker at the Global AI Conference, 2019, Boston, MA.
- (Sep, 2019) Received NeurIPS-2019 Top Reviewer Award.
- (Sep, 2019) Invited Speaker at the Open Data Science Conference (ODSC) Meetup, 2019, Boston, MA.
- (Aug, 2019) Invited Speaker at the MinneBos Data Science Conference, 2019, Boston, MA.
- (Jun, 2019) Featured Talk at the RE.WORK Deep Learning in Healthcare Summit, 2019, Boston, MA.
- (May, 2019) Invited Speaker at the RE.WORK Deep Learning in Healthcare Summit, 2019, Boston, MA.
- (Apr, 2019) Paper on "Portuguese Clinical Word Embeddings" accepted in MedInfo-2019.
- (Apr, 2019) Paper on "ImageCLEF 2019 Tasks and Applications" accepted in ECIR-2019.
- (Mar, 2019) Invited Talk at LCP, MIT.
- (Jan, 2019) Selected as a Member of the MIT Technology Review Global Panel.
- (Jan, 2019) Organizing the 2nd Medical Domain Visual Question Answering challenge, Lugano, Switzerland.
- (Nov, 2018) Paper on "Radiology Report Classification" accepted in Artificial Intelligence in Medicine Journal.
- (Oct, 2018) Paper on "Disease Name Recognition" accepted in AMIA Informatics Summit, 2019.
- (Oct, 2018) Interview with RE.WORK TV at the Deep Learning in Healthcare Summit, 2018, Boston, MA.
- (Oct, 2018) Featured Talk at the RE.WORK Deep Learning in Healthcare Summit, 2018, Boston, MA.
- (Jun, 2018) Book Chapter on "Clinical NLP" accepted in Springer book: "Data Science for Healthcare".
- (Jun, 2018) Invited Speaker at the Boston Data Science Conference, 2018.
- (Jun, 2018) Paper on "Clinical Paraphrase Generation" accepted in KDH-2018@IJCAI-ECAI.
- (Jun, 2018) Paper on "Medical Image Caption Generation" accepted in CLEF-2018.
- (May, 2018) Invited Speaker at the Deep Learning in Healthcare Summit, 2018, Boston, MA.
- (May, 2018) Invited Speaker at the Open Data Science Conference (ODSC) 2018, Boston, MA.
- (Mar, 2018) Received Quora 2018 Top Writer Award.
- (Mar, 2018) Invited Speaker at the AI&ML-101, 2018, Boston, MA.
- (Mar, 2018) Organized the 1st Medical Domain Visual Question Answering challenge, Avignon, France.
- (Mar, 2018) Organized KDHD-2018 Workshop at IJCAI-ECAI-2018, Stockholm, Sweden.
- (Feb, 2018) Paper on "Natural Language Inference" accepted in NAACL-2018.
- (Feb, 2018) Serving as an Area Chair for COLING-2018.
- (Feb, 2018) Invited Speaker at the Automate-USA conference, 2018, Boston, MA.
- (Oct, 2017) Two papers accepted in IEEE-BIBM BHI-2017.
- (Sep, 2017) Paper on "Learning to Diagnose with Deep Reinforcement Learning" accepted in IJCNLP 2017.
- (Aug, 2017) Invited Speaker at the Global Data Science Conference 2017, Boston, MA.
- (Jul, 2017) Ranked 1st in ImageCLEF 2017 Medical Image Caption Generation Task.
- (Jul, 2017) Paper on "Diagnostic Inferencing with Deep Reinforcement Learning" accepted in MLHC 2017.
- (Jul, 2017) Paper on "Medical Concept Normalization" accepted in ICHI 2017.
- (Feb, 2017) Paper on "Improving Diagnosis Inference" accepted in SENSE 2017. (Best Paper Nominee)
- (Feb, 2017) Paper on "Word Embedding Models for Biomedical NLP Tasks" accepted in IJCNN 2017.
- (Feb, 2017) Attended the biggest ever AAAI: AAAI-2017 Conference in San Francisco Bay, California.
- (Jan, 2017) Invited Speaker at the 2017 Smart Data Conference, San Francisco Bay, California.
- (Dec, 2016) Paper on "Adverse Drug Event Detection in Tweets" accepted in WWW 2017.
- (Dec, 2016) Attended the biggest ever COLING: COLING-2016 Conference in Osaka, Japan.
- (Nov, 2016) Gave a talk on clinical question answering at the NIST TREC-2016 Conference.
- (Nov, 2016) Paper on "Condensed Memory Networks" accepted in AAAI 2017.
- (Oct, 2016) Paper on "Neural Clinical Paraphrase Generation" published in Clinical NLP at COLING 2016.
- (Sep, 2016) Paper on "Neural Paraphrase Generation" published in COLING 2016.
- (Aug, 2016) Paper on "Translation of UMLS Ontologies in Portuguese" accepted in CBIS 2016.
- (May, 2016) Attended Yoshua Bengio's talk at Twitter Boston.
- (May, 2016) Invited talk on "Complex Question Answering" at Brandeis University.
- (Aug, 2015) Paper on semantic search published in MEDINFO-2015.
- (May, 2015) Philips Research Collaborates with MIT.
- (Mar, 2015) Paper on question generation published in Computational Linguistics.
- (Feb, 2015) Paper on reinforcement learning published in Information Processing and Management.
- (Oct, 2014) Paper on reinforcement learning published in EMNLP-2014.


Selected Academic Services:

- Program Committee Member/Reviewer for NeurIPS-2021, ACL-IJCNLP-2021, EMNLP-2021, CoNLL-2021, AAAI-2021, ICLR-2021, NAACL-HLT-2021, EACL-2021, EMNLP-2020, Clinical NLP-2020, AACL-IJCNLP-2020, NeurIPS-2020, COLING-2020, Reproducibility Challenge@NeurIPS-2019, Workshop on Narrative Understanding, Storylines, and Events (NUSE)@ACL-2020, ACL-2020, ICML-2020, ICLR-2020, AAAI-2020, AISTATS-2020, AMIA-2020, EMNLP-IJCNLP-2019, NeurIPS-2019, BioNLP-2019, IJCAI-2019, ACL-2019, MLHC-2019, Clinical NLP-2019, ICML-2019, ICLR-2019, AISTATS-2019, NIPS-2018, EMNLP-2018, ICML-2018, ACL-2018, NAACL-2018, ICLR-2018, MLHC-2018, AISTATS-2018, ICHI-2018, IJCNLP-2017, NIPS-2017, ACL-2017, AMIA-2017, MEDINFO-2017, AISTATS-2017, ClinicalNLP-2016, NIPS-2016, NAACL-2016, AMIA-2016, AMIA-2015, MEDINFO-2015, JAMIA, KAIS, PLOS ONE Journal, IEEE Transactions on Knowledge and Data Engineering, Computer Speech and Language, Artificial Intelligence Review, Journal of Artificial Intelligence Research.
- Area Chair for COLING-2018.
- Doctoral Committee Member for Lucas Oliveira, PUCPR, Brazil, 2020, Aaditya Prakash, Brandeis University, 2019.
- Mentor for ICLR 2020 Workshop on Tackling Climate Change with Machine Learning (CCAI-2020).
- Problem Author for Australian Linguistics Olympiad (OzCLO-2018), North American Computational Linguistics Olympiad (NACLO-2017).