Sadid Hasan, PhD. | AI Lead at Microsoft

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 Post-Doctoral Fellow at the Department of Mathematics and Computer Science, University of Lethbridge, Canada, where I received my PhD in Computer Science with 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.

News & Updates

(Jul, 2026) Checkout my recent book, now trending as #1 New Release: 'The Generative AI Career Masterplan' — co-authored with leaders from Google, Microsoft, IBM, and Liquid AI. Published by Packt Publishing.
(May, 2026) Invited Speaker at PAIR Launch Event, Northeastern University. Talk: 'Reasoning Challenges and the Future of Evaluation'.
(Feb, 2026) Featured Speaker at the Future AI Leaders Speaker Series: AI Leadership, Clark University.
(Aug, 2025) Featured interview in TechIntelPro: 'Research, Responsibility & Usability in Enterprise AI'.
(Jun, 2025) Featured Talk: 'AI & The Education of the Future' at Universidad Andrés Bello (UNAB), Chile.
(2025) Speaker at TechEquity AI Summit, Silicon Valley.
(2025) Co-organizer, KDD 2025 Workshop on Evaluation and Trustworthiness of Agentic and Generative AI.
(2025) Paper on 'Alternate Preference Optimization' accepted at COLING 2025.
(Feb, 2025) Speaker at Microsoft AI Community Event Series at Curry College, Milton, MA.
(2023) Recognized as one of the 100 Most Influential AI Leaders in the USA.
(Jun, 2022) Twelve new patents granted worldwide. Thanks to co-inventors.
(Apr, 2022) Invited speaker at ODSC, Boston, 2022.
(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.
(Apr, 2020) Featured Talk at the ODSC AI in Healthcare Virtual Conference, 2020.
(Jul, 2020) Received ICML-2020 Reviewer Recognition Award.
(Oct, 2019) Invited Speaker at 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 ODSC Meetup, 2019, Boston, MA.
(Aug, 2019) Invited Speaker at 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) Founding organizer of the ImageCLEF Medical Domain Visual Question Answering challenge.
(Nov, 2018) Paper on 'Radiology Report Classification' accepted in Artificial Intelligence in Medicine Journal.
(2018) Received Quora Top Writer Award, 2018.
(2018) Received Philips Research Breakthrough Innovation Award.
(Oct, 2018) Paper on 'Disease Name Recognition' accepted in AMIA Informatics Summit, 2019.
(2018) Featured Talk at the Deep Learning in Healthcare Summit, Boston, 2018.
(2018) Interview at the Deep Learning in Healthcare Summit, Boston, 2018.
(Sep, 2017) Ranked 1st in ImageCLEF-2017 Medical Image Caption Generation Task.
(Nov, 2017) Ranked 2nd in TREC-2017 Precision Medicine Track.
(May, 2016) Invited talk on 'Complex Question Answering' at Brandeis University.
(Aug, 2015) Paper on semantic search published in MEDINFO-2015.

Publications

Selected publications from conferences, journals, and workshops.

2026

"Short-form Text Rewriting with Phi Silica" arXiv:2606.00462. (.pdf)

"Facilitating AI-Driven Sustainability: A Service-Oriented Architecture for Interoperable Environmental Data Access" Sustainability, 18(5), 2445, MDPI. (.pdf)

"Democratizing Environmental Data via the Model Context Protocol: A Service-Oriented Architecture for Environmental Intelligence" EarthArXiv. (.pdf)

2025

"High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training" arXiv:2510.05492. (.pdf)

"One Head, Many Models: Cross-Attention Routing for Cost-Aware LLM Selection" arXiv:2509.09782. (.pdf)

"Benchmark Dataset Generation and Evaluation for Excel Formula Repair with LLMs" arXiv:2508.11715. (.pdf)

"Auto-Eval Judge: Towards a General Agentic Framework for Task Completion Evaluation" arXiv:2508.05508. (.pdf)

"KDD Workshop on Evaluation and Trustworthiness of Agentic and Generative AI" KDD-2025. (.pdf)

"Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models" COLING-2025. (.pdf)

2024

"SAGEval: The Frontiers of Satisfactory Agent-based NLG Evaluation for Reference-free Open-ended Text" arXiv:2411.16077. (.pdf)

"Does Prompt Formatting Have Any Impact on LLM Performance?" arXiv:2411.10541. (.pdf)

2022

"Overview of the ImageCLEF 2022" CLEF-2022. (.pdf)

"CliMedBERT: A Pre-trained Language Model for Climate and Health-related Text" NeurIPS 2022 Climate Change AI Workshop. (.pdf)

"SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks" Journal of Biomedical Semantics. (.pdf)

2021

"Overview of the ImageCLEF 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications" CLEF-2021. (.pdf)

"Overview of the VQA-Med Task at ImageCLEF 2021: Visual Question Answering and Generation in the Medical Domain" ImageCLEF-2021. (.pdf)

"Using Machine Learning to Identify Effective Health Care Guidelines for Diabetics" AcademyHealth ARM-2021. (.pdf)

"The 2021 ImageCLEF Benchmark: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications" ECIR-2021. (.pdf)

2020

"Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions" INLG-2020. (.pdf)

"Overview of the VQA-Med Task at ImageCLEF 2020: Visual Question Answering and Generation in the Medical Domain" ImageCLEF-2020. (.pdf)

"Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications" CLEF-2020. (.pdf)

"An Information Gain Modeling Approach for Face-to-Face Assessment Prioritization in Medicare" AcademyHealth ARM-2020.

"An Ontology-driven Treatment Article Retrieval System for Precision Oncology" ArXiv (CoRR-2020). (.pdf)

"SemClinBr - a multi institutional and multi specialty semantically annotated corpus for Portuguese clinical NLP tasks" ArXiv (CoRR-2020). (.pdf)

"ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications" ECIR-2020. (.pdf)

2019

"BoostER: A Performance Boosting Module for Biomedical Entity Recognition" IEEE BIBM Workshop AIBH-2019. (.pdf)

"Improving Disease Named Entity Recognition for Clinical Trial Matching" IEEE BIBM Workshop AIBH-2019. (.pdf)

"VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019" ImageCLEF-2019. (.pdf)

"ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature" CLEF-2019. (.pdf)

"Learning Portuguese Clinical Word Embeddings: A Multi-specialty and Multi-institutional Corpus of Clinical Narratives Supporting a Downstream Biomedical Task" MedInfo-2019. (.pdf)

"ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications" ECIR-2019. (.pdf)

"Comparative Effectiveness of CNN and RNN Architectures for Radiology Text Report Classification" Artificial Intelligence in Medicine, Elsevier. (.pdf)

"A Domain Knowledge-Enhanced LSTM-CRF Model for Disease Named Entity Recognition" AMIA Informatics Summit 2019. (.pdf)

2018

"Clinical Natural Language Processing with Deep Learning" Data Science for Healthcare, Springer. (.pdf)

"Towards Dataset Creation and Establishing Baselines for Sentence-level Neural Clinical Paraphrase Generation and Simplification" KDH 2018 @ IJCAI-ECAI. (.pdf)

"Attention-based Medical Caption Generation with Image Modality Classification and Clinical Concept Mapping" CLEF 2018. (.pdf)

"Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation" CLEF 2018. (.pdf)

"Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task" ImageCLEF 2018. (.pdf)

"DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference" NAACL HLT 2018. (.pdf)

2017

"A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching" TREC 2017. (.pdf)

"Recognizing Tweet Relevance with Profile-specific and Profile-independent Supervised Models" TREC 2017. (.pdf)

"Open Domain Real-time Question Answering based on Asynchronous Multi-perspective Context-driven Retrieval and Neural Paraphrasing" TREC 2017. (.pdf)

"Automated Clinical Diagnosis: The Role of Content in Various Sections of a Clinical Document" IEEE BIBM BHI 2017. (.pdf)

"A Statistics and UMLS-based Tool for Assisted Semantic Annotation of Brazilian Clinical Documents" IEEE BIBM BHI 2017. (.pdf)

"Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning" IJCNLP 2017. (.pdf)

"PRNA at ImageCLEF 2017 Caption Prediction and Concept Detection Tasks" ImageCLEF 2017 [Ranked 1st in Medical Image Caption Generation]. (.pdf)

"Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study" MLHC 2017. (.pdf)

"Medical Concept Normalization for Online User-Generated Texts" IEEE ICHI 2017. (.pdf)

"Improving Clinical Diagnosis Inference through Integration of Structured and Unstructured Knowledge" EACL SENSE 2017 [Best Paper Nominee]. (.pdf)

"Integrating Extra Knowledge into Word Embedding Models for Biomedical NLP Tasks" IJCNN 2017. (.pdf)

"Adverse Drug Event Detection in Tweets with Semi-Supervised Convolutional Neural Networks" WWW 2017. (.pdf)

"Condensed Memory Networks for Clinical Diagnostic Inferencing" AAAI 2017. (.pdf)

2016

"Neural Paraphrase Generation with Stacked Residual LSTM Networks" COLING 2016. (.pdf)

"Neural Clinical Paraphrase Generation with Attention" ClinicalNLP 2016 @ COLING. (.pdf)

"Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph" TREC 2016. (.pdf)

"Assorted Textual Features and Dynamic Push Strategies for Real-time Tweet Notification" TREC 2016. (.pdf)

"Open Domain Real-Time Question Answering Based on Semantic and Syntactic Question Similarity" TREC 2016. (.pdf)

"Translation of UMLS Ontologies from European Portuguese to Brazilian Portuguese" CBIS 2016. (.pdf)

2015

"Exploiting Neural Embeddings for Social Media Data Analysis" TREC 2015. (.pdf)

"Using Neural Embeddings for Diagnostic Inferencing in Clinical Question Answering" TREC 2015. (.pdf)

"Ontology-Driven Semantic Search for Brazilian Portuguese Clinical Notes" MEDINFO 2015. (.pdf)

"Towards Topic-to-Question Generation" Computational Linguistics, MIT Press, Vol. 41(1). (.pdf)

"A Reinforcement Learning Formulation to the Complex Question Answering Problem" Information Processing and Management, Elsevier, Vol. 51(3). (.pdf)

2014

"A Hybrid Approach to Clinical Question Answering" TREC 2014. (.pdf)

"Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning" EMNLP 2014. (.pdf)

"Complex Question Answering: Homogeneous or Heterogeneous, Which Ensemble Is Better?" NLDB 2014. (.pdf)

2013

"On the Effectiveness of Using Syntactic and Shallow Semantic Tree Kernels for Automatic Assessment of Essays" IJCNLP 2013. (.pdf)

"Using POMDPs for Topic-Focused Multi-Document Summarization" TALN 2013. (.pdf)

"Complex Question Answering: Minimizing the Gaps and Beyond" Ph.D. Thesis, University of Lethbridge. (.pdf)

2012

"Automatically Assessing Free Texts" SLP-TED 2012 @ COLING. (.pdf)

"Simple or Complex? Classifying the Question by the Answer Complexity" QACD 2012 @ COLING. (.pdf)

"Towards Automatic Topical Question Generation" COLING 2012. (.pdf)

"On the Effectiveness of Using Sentence Compression Models for Query-Focused Multi-Document Summarization" COLING 2012. (.pdf)

"Improving the Performance of the Reinforcement Learning Model for Answering Complex Questions" CIKM 2012. (.pdf)

"Learning Good Decompositions of Complex Questions" NLDB 2012, Springer LNCS. (.pdf)

"Query-Focused Multi-Document Summarization: Automatic Data Annotations and Supervised Learning Approaches" Journal of Natural Language Engineering, Cambridge University Press, Vol. 18(1). (.pdf)

2011

"UofL at TAC 2011 Guided Summarization Task" TAC 2011. (.pdf)

"An Aspect-driven Random Walk Model for Topic-Focused Multi-Document Summarization" AIRS 2011, Springer LNCS. (.pdf)

"Using Syntactic and Shallow Semantic Kernels to Improve Multi-Modality Manifold-Ranking for Topic-Focused Multi-Document Summarization" IJCNLP 2011. (.pdf)

"Improving Graph-based Random Walks for Complex Question Answering Using Syntactic, Shallow Semantic and Extended String Subsequence Kernels" Information Processing and Management, Elsevier, Vol. 47(6). (.pdf)

"Using Semantic Information to Answer Complex Questions" CAI 2011, Springer LNAI. (.pdf)

"A Reinforcement Learning Framework for Answering Complex Questions" IUI 2011. (.pdf)

2010

"Automatic Question Generation from Sentences" TALN 2010. (.pdf)

"Automation of Question Generation From Sentence" Workshop on Question Generation 2010. (.pdf)

2009

"Answering Complex Questions: Supervised Approaches" M.Sc. Thesis, University of Lethbridge. (.pdf)

"Complex Question Answering: Unsupervised Learning Approaches and Experiments" Journal of AI Research (JAIR), Vol. 35. (.pdf)

"Do Automatic Annotation Techniques Have Any Impact on Supervised Complex Question Answering?" ACL-IJCNLP 2009. (.pdf)

"Supervised Approaches to Complex Question Answering" PACLING 2009. (.pdf)

"A SVM-Based Ensemble Approach to Multi-Document Summarization" CAI 2009, Springer LNAI. (.pdf)

2008

"UofL at TAC 2008 Update Summarization and Question Answering" TAC 2008. (.pdf)

2007

"Advances in Focused Retrieval: A General Review" ICCIT 2007, IEEE. (.pdf)

"Design of EIDI: A Cache-based Interface to Integrate AI and Database Systems with Dynamism" ICCIT 2007, IEEE. (.pdf)

2005

"Design of E-COP: A Distributed Anti-Spam Environment to Prevent Spamming in E-mail" ICCIT 2005. (.pdf)

Patents

Granted and published patents (39 total).

2025

"Automated Call Summarization Based on Filtered Utterances" US12475884B2 — Aetna Inc..

"System for Multi-perspective Discourse Within a Dialog" US12204854B2 — Koninklijke Philips N.V..

"Convolutional Localization Networks for Intelligent Captioning of Medical Images" US12198455B2 — Koninklijke Philips N.V..

"Generative Artificial Intelligence Form Builder" US20250124022A1 — Microsoft Technology Licensing, LLC.

2024

"Audio Processing Using Artificial Intelligence for Early Disease Identification and Member Engagement" US12159647B1 — CVS Pharmacy, Inc..

"Systems and Methods for Augmented Reality-Enhanced Field Services Support" US12002578B2 — Koninklijke Philips N.V..

2023

"Hierarchical Self-Attention for Machine Comprehension" US11721335B2 — Koninklijke Philips N.V..

"Drawing Conclusions from Free Form Texts with Deep Reinforcement Learning" US11670420B2 — Koninklijke Philips N.V..

"Systems, Methods, and Apparatus for Diagnostic Inferencing with a Multimodal Deep Memory Network" US11621075B2 — Koninklijke Philips N.V..

"Semi-supervised Classification with Stacked Autoencoder" US11544529B2 — Koninklijke Philips N.V..

"Condensed Memory Networks" US20230237330A1 — Koninklijke Philips N.V..

"AI Based Systems and Methods for Providing a Care Plan" US20230352134A1 — CVS Pharmacy, Inc..

2022

"Hierarchical Neural Networks with Granularized Attention" US11361569B2 — Koninklijke Philips N.V..

"Question Generation" US11294942B2 — Koninklijke Philips N.V..

"Open Domain Real-Time Question Answering" US11232261B2 — Koninklijke Philips N.V..

"Device, System, and Method for Determining Information Relevant to a Clinician" US11288296B2 — Koninklijke Philips N.V..

2021

"System and Method for Generating Textual Descriptions from Medical Images" US11056227B2 — Koninklijke Philips N.V..

"Simplifying and/or Paraphrasing Complex Textual Content by Jointly Learning Semantic Alignment and Simplicity" US11042712B2 — Koninklijke Philips N.V..

"Systems and Methods for Neural Clinical Paraphrase Generation" US11068660B2 — Koninklijke Philips N.V..

"Visual Question Answering Using On-image Annotations" US20210240931A1 — Koninklijke Philips N.V..

"Machine Learning Model with Evolving Domain-specific Lexicon Features for Text Annotation" US20210232768A1 — Koninklijke Philips N.V..

"System for Automated Dynamic Guidance for DIY Projects" US20210064648A1 — Koninklijke Philips N.V..

"Method and Device for Preserving Context in Conversations" WO2021156491A1 — Koninklijke Philips N.V..

2020

"Multi-modal Dialogue Agent" US20200160199A1 — Koninklijke Philips N.V..

"CRF-based Span Prediction for Fine Machine Learning Comprehension" US20200175015A1 — Koninklijke Philips N.V..

"Extracted Concept Normalization Using External Evidence" US20200043610A1 — Koninklijke Philips N.V..

"Independent and Dependent Reading Using Recurrent Networks for Natural Language Inference" US20200320387A1 — Koninklijke Philips N.V..

"Unsupervised Text Simplification Using Autoencoders with a Constrained Decoder" US20200042547A1 — Koninklijke Philips N.V..

"Multi Domain Real-time Question Answering System" EP3529717B1 — Koninklijke Philips N.V..

2019

"System and Method for Automated Retrieval and Analysis of Medical Records" WO2019052811A1 — Koninklijke Philips N.V..

"Knowledge Graph-based Clinical Diagnosis Assistant" US20190252074A1 — Koninklijke Philips N.V..

"Classifier Training" US20190347571A1 — Koninklijke Philips N.V..

"Patient-centric Clinical Knowledge Discovery System" EP3526699A1 — Koninklijke Philips N.V..

"Knowledge Discovery from Social Media and Biomedical Literature for Adverse Drug Events" EP3500952A1 — Koninklijke Philips N.V..

"System and Method for Efficient Ensembling of Natural Language Inference" WO2019115200A1 — Koninklijke Philips N.V..

"Haptic Input Text Generation" WO2019238623A1 — Koninklijke Philips N.V..

2018

"Reader-driven Paraphrasing of Electronic Clinical Free Text" US20180373700A1 — Koninklijke Philips N.V..

2017

"Device, System, and Method for Classification of Cognitive Bias in Microblogs Relative to Healthcare-centric Evidence" WO2017149443A1 — Koninklijke Philips N.V..

2015

"Systems and Methods for Relation Extraction for Chinese Clinical Documents" US20150347521A1 — Koninklijke Philips N.V..

Awards & Achievements

2026	Microsoft AI Leadership Award
2025	Ranked 1st in Microsoft Global Hackathon Agentic Memory Challenge
2024	Ranked 1st in Microsoft Global Hackathon AI for Sustainability Challenge
2023	100 Most Influential AI Leaders in USA
2022, 2023	Ranked 1st in Microsoft Fall Global Hackathon Challenge
2021	Ranked 1st in CVS Health Analytics Venture Competition
2020	ICML-2020 Reviewer Recognition Award
2019	NeurIPS-2019 Top Reviewer Award
2018	Quora Top Writer Award
2018	Philips Research Breakthrough Innovation Award
2017	Philips Research North America Recognition Award
2016	Philips Research North America Recognition Award
2015	Philips Research North America Recognition Award
2014	Philips Research Innovation Transfer Award
2014	Philips Research North America Recognition Award
2013	SGS Research Dissemination Award
2013	GSA Thesis Binding Award
2012	Mitacs-Accelerate Internship Award
2011	SGS Entrance Award, University of Lethbridge
2010-2012	SGS Advantage Award, University of Lethbridge
2010	International Research Fellowship Award, University of Lethbridge
2009	SGS Entrance Award, University of Lethbridge
2008	SGS Entrance Award, University of Lethbridge
2005	First Class 6th position (CGPA: 4.92/5.00) in B.Sc in CIT

Contact

sadidhasan at gmail

Cambridge, MA, USA

LinkedIn Profile

Google Scholar

News & Updates

Publications

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Patents

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Awards & Achievements

Talks & Media

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