Curriculum Vitae

Nikhil Singh

Assistant Professor of Computer Science
Dartmouth College

nikhil.u.singh@dartmouth.edu
nsingh1.host.dartmouth.edu
sahaslab.com

ACADEMIC POSITIONS

2025–: Dartmouth College Hanover NH
Assistant Professor in Computer Science
Director of SAHAS lab
Co-Director, Digital Arts program
2018: Berklee College of Music Boston MA
Instructor in Electronic Production and Design

EDUCATION

2018–2024: Massachusetts Institute of Technology Cambridge MA
2020–2024 PhD in Media Arts and Sciences
2018–2020 SM in Media Arts and Sciences
2013–2017: Berklee College of Music Boston MA
BM in Composition
BM in Electronic Production and Design

OTHER RESEARCH EXPERIENCE

2023: Allen Institute for AI Remote (Seattle WA)
Research Intern, Semantic Scholar team
Published FigurA11y (IUI 2024).
2022: Netflix Inc. Los Gatos CA
Machine Learning Research Intern, Product Machine Learning Research team
Published LSSD (CVPR 2024).

AWARDS AND HONORS

2025: Burke Research Initiation Award $40,000 Dartmouth College
2025: Generative AI Course Grant $1,500 Dartmouth College
2023: Generative AI Impact Grant $50,000 MIT
PI: Tod Machover.
2023: Gary Marsden Travel Award $2,500 SIGCHI
2020–2022: LEGO® Papert Graduate Fellowship MIT
2017: Earle Browne Award and Scholarship for Music Composition Berklee
2016: Max Mathews Award and Scholarship for Music Technology Berklee
2016–2017: Achievement Grant Berklee
2013–2017: Dean’s Award Scholarship Berklee
2013–2017: Dean’s List 8 semesters Berklee

REVIEWING AWARDS

2026: Top Area Chair NeurIPS 2026
2026: Outstanding Reviewer ACL 2026
2026: 2× Special Recognitions for Outstanding Reviews CHI LBW 2026
2025: Special Recognition for Outstanding Review CHI 2026
2024: Outstanding Reviewer EMNLP 2024
2024: 2× Special Recognitions for Outstanding Reviews CHI 2025
2023: 2× Special Recognitions for Outstanding Reviews CHI 2024
2022: Special Recognition for Outstanding Review DIS 2022

SELECTED PUBLICATIONS

Note: This list includes papers published in peer-reviewed venues across computer science (e.g. CVPR, ICML, ICLR, NeurIPS, CHI, TOCHI, IUI). These venues are highly selective and comparable in prestige to top journals in other fields.
* denotes equal contribution; ^† indicates PhD advisee. For a full list, see Google Scholar.

PREPRINTS AND WORKING PAPERS

2026 1.: Probing Perceptual Priors of MLLMs via Gibbs Sampling with Interpretable Generative Controls
M Cherep, P Maes, N Singh
2026 2.: RIME: Enabling Large-Scale Agentic Music Post-Production
N Schaffer^†, N Singh
2026 3.: PRISM-BN: A Large-Scale Corpus of Parameterized Bayesian Networks Paired with Natural Language
A Bhattacharya, N Singh, N Pokhriyal, S Vosoughi

JOURNAL ARTICLES

2026 4.: AI Agents are Sensitive to Nudges
M Cherep, P Maes, N Singh
PNAS: Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2537030123
2024 5.: Human Detection of Political Speech Deepfakes across Transcripts, Audio, and Video
M Groh*, A Sankaranarayanan*, N Singh, DY Kim, A Lippman, RW Picard
Nature Communications · doi:10.1038/s41467-024-51998-z
2022 6.: Where to Hide a Stolen Elephant: Leaps in Creative Writing with Multimodal Machine Intelligence
N Singh*, G Bernal*, D Savchenko*, E Glassman
TOCHI: ACM Transactions on Computer-Human Interaction (presented at CHI 2023) · doi:10.1145/3511599
2022 7.: A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More
I Drori, S Zhang, R Shuttleworth, L Tang, A Lu, E Ke, K Liu, L Chen, S Tran, N Cheng, R Wang, N Singh, TL Patti, J Lynch, A Shporer, N Verma, E Wu, G Strang
PNAS: Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2123433119

PEER REVIEWED CONFERENCE PAPERS

2026 8.: Displacement Geometry Captures Platonic Shared Reality Across Models and Modalities
C Shang^†, Y Tang^†, JJ Ou Yang^†, R Xu^†, A Breuer*, N Singh*
NeurIPS 2026
2026 9.: Dual-Contrastive Sparse Autoencoders Reveal Features of Musical Interpretation
J Chen*, M Cherep*, P Maes, N Singh
NeurIPS 2026
2026 10.: Reinforcement World Model Learning for LLM-based Agents
X Yu, B Peng, R Xu^†, Y Shen, P He, S Nath, N Singh, J Gao, Y Zhou
NeurIPS 2026
2026 11.: Disentangling Perception and Reasoning in Multimodal LLMs via Reward Design
O Sharif^†, E Hossain, N Singh, P Ng
AACL-IJCNLP 2026
2026 12.: DMV-Bench: Diagnosing Long-Horizon Multimodal Agents’ Visual Memory with Incidental Cue Injection
Y Tang^†, C Shang^†, R Xu^†, N Singh
EMNLP 2026 (Main Conference): Empirical Methods in Natural Language Processing · arXiv:2606.27499
2026 13.: How do World Models and Policies Compose in LLM Agents? A Joint Spectral and Behavioral Account
R Xu^†, X Yu, Y Tang^†, C Shang^†, N Singh
EMNLP Findings 2026: Empirical Methods in Natural Language Processing
2026 14.: Improving Information Extraction with Learned Queries
O Sharif^†, S Vosoughi, N Singh
EMNLP Findings 2026: Empirical Methods in Natural Language Processing
2026 15.: Visual Persuasion: What Influences Decisions of Vision-Language Models?
M Cherep*, Pranav M R*, P Maes, N Singh
ICML 2026: International Conference on Machine Learning · arXiv:2602.15278
2026 16.: Behavioral Systems Require Behavioral Tests
M Cherep*, N Singh*, P Maes
ICML 2026: International Conference on Machine Learning (Position Track)
2026 17.: If Only My CGM Could Speak: A Privacy-Preserving Agent for Question Answering over Continuous Glucose Data
Y Cui^†, A Emami, T Prioleau, N Singh
ACL Findings 2026: Association for Computational Linguistics
2025 18.: A Framework for a Behavioral Science of AI Agents: Evidence from Consumer Choice Experiments
M Cherep, C Ma, A Xu, M Shaked, P Maes, N Singh
ICLR 2026: International Conference on Learning Representations · arXiv:2509.25609
2025 19.: Discovering and Steering Interpretable Concepts in Large Generative Music Models
N Singh*, M Cherep*, P Maes
ICLR 2026: International Conference on Learning Representations · arXiv:2505.18186
2024 20.: Contrastive Learning from Synthetic Audio Doppelgängers
M Cherep*, N Singh*
ICLR 2025: International Conference on Learning Representations · arXiv:2406.05923
2024 21.: Bridging the Data Provenance Gap Across Text, Speech, and Video
S Longpre, N Singh, M Cherep, K Tiwary, J Materzynska, W Brannon, R Mahari, M Dey, M Hamdy, N Saxena, AM Anis, EA Alghamdi, VM Chien, N Obeng-Marnu, D Yin, K Qian, Y Li, M Liang, A Dinh, S Mohanty, D Mataciunas, T South, J Zhang, AN Lee, CS Lund, C Klamm, D Sileo, D Misra, E Shippole, K Klyman, LJV Miranda, N Muennighoff, S Ye, S Kim, V Gupta, V Sharma, X Zhou, C Xiong, L Villa, S Biderman, S Pentland, S Hooker, J Kabbara
ICLR 2025: International Conference on Learning Representations · arXiv:2412.17847
2024 22.: Creative Text-to-Audio Generation via Synthesizer Programming
M Cherep*, N Singh*, J Shand
ICML 2024: International Conference on Machine Learning · OpenReview
2024 23.: FigurA11y: AI Assistance for Writing Scientific Alt Text
N Singh, LL Wang, J Bragg
IUI 2024: ACM Intelligent User Interfaces · ACM DL
2024 24.: Purrfect Pitch: Exploring Musical Interval Learning through Multisensory Interfaces
S Chin*, C Fang*, N Singh, I Ibrahim, J Paradiso, P Maes
AH 2025: Augmented Humans · arXiv:2407.09721
2024 25.: Looking Similar, Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
N Singh, C Wu, I Orife, M Kalayeh
CVPR 2024: IEEE/CVF Computer Vision and Pattern Recognition · CVF Open Access
2024 26.: Consent in Crisis: The Rapid Decline of the AI Data Commons
S Longpre, R Mahari, A Lee, C Lund, H Oderinwale, W Brannon, N Saxena, N Obeng-Marnu, T South, C Hunter, K Klyman, C Klamm, H Schoelkopf, N Singh, M Cherep, A Anis, A Dinh, C Chitongo, D Yin, D Sileo, D Mataciunas, D Misra, E Alghamdi, E Shippole, J Zhang, J Materzynska, K Qian, K Tiwary, L Miranda, M Dey, M Liang, M Hamdy, N Muennighoff, S Ye, S Kim, S Mohanty, V Gupta, V Sharma, M Vu, X Zhou, Y Li, C Xiong, L Villa, S Biderman, H Li, D Ippolito, S Hooker, J Kabbara, S Pentland
NeurIPS 2024 Datasets & Benchmarks Track · Data Provenance Initiative
2024 27.: Ellie Talks About the Weather: Toward Evaluating the Expressive and Enrichment Potential of a Tablet-Based Speech Board in a Single Goffin’s Cockatoo
J Cunha, C Renguette, N Singh, L Stella, M McMahon, H Jin, R Kleinberger
CHI 2024: ACM Conference on Human Factors in Computing Systems · ACM DL
2023 28.: SynthAX: A Fast Modular Synthesizer in JAX
M Cherep*, N Singh*
AES 2023: Audio Engineering Society Convention Papers · PDF
2022 29.: Voice at NIME: A Taxonomy of New Interfaces for Vocal Musical Expression
R Kleinberger, N Singh, A van Troyer, X Xiao
NIME 2022: International Conference on New Interfaces for Musical Expression · doi:10.21428/92fbeb44.4308fb94
2022 30.: Solving Probability and Statistics Problems by Probabilistic Program Synthesis at Human Level and Predicting Solvability
L Tang, E Ke, N Singh, B Feng, D Austin, N Verma, I Drori
AIED 2022: International Conference on Artificial Intelligence in Education · arXiv:2111.08267
2021 31.: Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis
N Singh, J Mentch, J Ng, M Beveridge, I Drori
ICCV 2021: IEEE/CVF International Conference on Computer Vision · CVF Open Access
2021 32.: The Sound Sketchpad: Expressively Combining Large and Diverse Audio Collections
N Singh
IUI 2021: ACM Intelligent User Interfaces · doi:10.1145/3397481.3450688
2021 33.: Solving Machine Learning Problems
S Tran, P Krishna, I Pakuwal, P Kafle, N Singh, J Lynch, I Drori
ACML 2021: Asian Conference on Machine Learning (Best Student Paper Award) · arXiv:2107.01238

WORKSHOP PAPERS AND PRESENTATIONS

2026 34.: Dual-Contrastive Sparse Autoencoders Reveal Features of Musical Interpretation
J Chen*, M Cherep*, P Maes, N Singh
ICML 2026 Workshop on Mechanistic Interpretability
2026 35.: RIME: Enabling Large-Scale Agentic Music Post-Production
N Schaffer^†, N Singh
ICML 2026 Workshop on Machine Learning for Audio
2025 36.: A Framework for a Behavioral Science of AI Agents: Evidence from Consumer Choice Experiments
M Cherep, C Ma, A Xu, M Shaked, P Maes, N Singh
NeurIPS LAW Workshop on Bridging Language, Agent, and World Models
2025 37.: Behavioral Systems Require Behavioral Tests
M Cherep*, N Singh*, P Maes
NeurIPS LAW Workshop on Bridging Language, Agent, and World Models
2025 38.: Discovering and Steering Interpretable Concepts in Large Generative Music Models
N Singh*, M Cherep*, P Maes
NeurIPS AI4Music Workshop
2024 39.: Superficial Alignment and Subtle Divergence in LLM Decision-Making
M Cherep*, N Singh*, P Maes
NeurIPS Behavioral Machine Learning Workshop (Spotlight Talk, top 6 of 72 accepted papers) · OpenReview
2024 40.: Articulatory Synthesis of Speech and Diverse Vocal Sounds via Optimization
L Mo*, M Cherep*, N Singh*, Q Langford, P Maes
NeurIPS Audio Imagination Workshop · OpenReview
2023 41.: Creative Text-to-Audio Generation via Synthesizer Programming
N Singh*, M Cherep*, J Shand
NeurIPS Machine Learning for Audio Workshop · PDF
2023 42.: Investigating the Physiological and Psychological Effect of an Interactive Musical Interface for Stress and Anxiety Reduction
K Lecamwasam, SG Arango, N Singh, N Elhaouij, M Addae, RW Picard
CHI LBW 2023: Extended Abstracts of the 2023 CHI Conference · doi:10.1145/3544549.3585778
2022 43.: A Selective Summary of Where to Hide a Stolen Elephant: Leaps in Creative Writing with Multimodal Machine Intelligence
N Singh*, G Bernal*, D Savchenko*, E Glassman
ACL 2022 In2Writing Workshop: The First Workshop on Intelligent and Interactive Writing Assistants · PDF
2021 44.: Quantifying and Alleviating Distribution Shifts in Foundation Models on Review Classification
S Chawla, N Singh, I Drori
NeurIPS 2021 Workshop on Distribution Shifts · OpenReview

PUBLIC-FACING WRITING

2024 45.: AI for Musical Discovery
N Singh, M Mishra, T Machover
Part of An MIT Exploration of Generative AI: From Novel Chemicals to Opera · PubPub

THESES AND TECHNICAL REPORTS

2024 46.: Bridging the Gap: Generative Machines and Inventive Minds
N Singh
PhD Thesis, Massachusetts Institute of Technology
Committee: Tod Machover (advisor), Elena Glassman, Ramesh Raskar, Pattie Maes
2020 47.: Sifting Sound: Interactive Extraction, Exploration, and Expressive Recombination of Large and Heterogeneous Audio Collections
N Singh
Master’s Thesis, Massachusetts Institute of Technology
Committee: Tod Machover (advisor), Joe Paradiso, Tristan Jehan
2017 48.: Csound in iOS
N Arner, N Singh, R Boulanger, A Petrolati
In J. Heintz & H. Sigurðsson (Eds.), The Csound FLOSS Manual, 7th ed., pp. 693–726
Revised 2020.

INVITED TALKS AND PANELS

May 2025: Indian Institute of Management Bangalore Virtual
LLM Agents are Hypersensitive to Nudges (talk and research panel)
Apr 2025: The Dallas Literary Society Virtual
Creative Meets Code (interview)
Nov 2024: Northwestern University Kellogg School Virtual
Human-AI Collaboration Lab. Do AI Agents Choose Like Us?
Nov 2024: MIT List Center Cambridge MA
Steina: Playback exhibit. The Sound-Image Connection: Representation, Abstraction, Randomness
Sep 2024: MIT Media Lab Divergent Sectors Event Cambridge MA
Building Precision Tools for the Imagination with AI
Aug 2024: Boston AI Music Meetup Cambridge MA
Cross-Modal and Counterfactual Approaches for Enhanced Audio Processing and Creation
May 2024: Multimodal Weekly (Twelve Labs) Virtual
Multimodal Models for Enhanced Audio Processing and Creation
Apr 2024: Imagination in Action: Forging the Future of Business with AI Cambridge MA
Invited lightning and panel talks. Building Precision Tools for the Imagination with AI
Apr 2024: MIT Media Lab Cultivating Creativity course Cambridge MA
Creative Text-to-Audio Generation via Synthesizer Programming; with Manuel Cherep
Feb 2024: Wang Research Group, University of Washington iSchool Virtual
FigurA11y: AI Assistance for Writing Scientific Alt Text
Nov 2023: MIT Generative AI Week Cambridge MA
Invited lightning talk. Creative Text-to-Audio Generation via Synthesizer Programming; with Manuel Cherep
Oct 2023: Audio Engineering Society (AES) Convention New York NY
Invited panelist. Harnessing the Power of AI in Designing Electronic Musical Instruments: Innovation, Interactivity, and Inclusivity
Apr 2023: ACM CHI Conference 2023 Hamburg Germany
TOCHI journal paper talk. Where to Hide a Stolen Elephant: Leaps in Creative Writing with Multimodal Machine Intelligence
Mar 2023: MIT Center for Constructive Communication Cambridge MA
Creative Writing and Multimodal Machine Intelligence
Nov 2022: Netflix Data and Insights Research Seminar Virtual
Looking Similar, Sounding Different: Language-Invariant Training for Audiovisual Representation Learning
May 2022: Audio Engineering Society (AES) Europe Virtual
Panelist and co-host. Audio Production as Research and Development
May 2022: MIT Media Lab Cambridge MA
Nominated research talk. Computational Approaches for Interactive Media Production
Apr 2022: Columbia University graduate Deep Learning course Virtual
Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis
Oct 2021: MIT Media Lab Reimagining Hyperinstruments course Cambridge MA
Lecture. Auditory Computation
Oct 2021: Berklee Machine Learning for Musicians course Boston MA
Adventures in Audio, Art, and Computation
Aug 2021: Columbia University graduate Deep Learning course Virtual
Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis
May 2021: Car Experience Workshop MIT Media Lab Virtual
Aural Experience for Future Mobility Contexts; with Karsten Schuhl
Feb 2021: MIT graduate Applied Machine Learning course Virtual
Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis; with Jeff Mentch and Jerry Ng
Dec 2018: MIT Senseable City research group Cambridge MA
Making Music from Large Audio Datasets

TEACHING

ASSISTANT PROFESSOR, DARTMOUTH COLLEGE

2026 (W): AI Agents
2025 (F): Human-Computer Interaction
2025 (S): Machine Learning and Statistical Data Analysis
2025 (W): Human-Centered Generative AI: Foundations and Applications

INSTRUCTOR, BERKLEE COLLEGE OF MUSIC

2018: Audio Programming in C
2018: Audio Programming for iPad
2018: Producing Music with Ableton Live × 3

TEACHING ASSISTANT, MIT MEDIA LAB

2021 (F): Reimagining Hyperinstruments instr. Tod Machover
2020 (F): ARTS@ML: Why Here? What’s Next? instr. Tod Machover

TEACHING ASSISTANT, BERKLEE COLLEGE OF MUSIC

2016–2017: Audio Programming in C instr. Ben Houge
2016–2017: Audio Programming for iPad instr. Dr. Richard Boulanger

GUEST AND ADDITIONAL LECTURES

2024: Adversarial Research Design Patterns MIT Festival of Learning
2023: How to Put Almost Anything in a Browser; with Manuel Cherep, Kimaya Lecamwasam, and Jessica Shand MIT Festival of Learning
2022: How to Make Almost Any Sound; with Manaswi Mishra and Maxwell Addae MIT Festival of Learning
2021: How to Make Almost Any Sound; with Manaswi Mishra MIT Festival of Learning
2017–2018: Electroacoustic Composition — lecture on Spectralism and Spectral Analysis instr. Dr. Richard Boulanger
2018: Programming in Max — substitution and project review instr. Neil Leonard
2018: Video Programming in Jitter — substitution and project review instr. Neil Leonard

ADVISING AND MENTORING

PHD ADVISING

Fall 2025–: Noah Schaffer Dartmouth CS
Fall 2025–: Ruize Xu Dartmouth CS
Fall 2025–: Yanjun Cui co-advised with Temiloluwa Prioleau
Fall 2025–: Chenming Shang co-advised with Adam Breuer
Winter 2026–: Omar Sharif Dartmouth CS
Winter 2026–: Yujin Tang Dartmouth CS
Winter 2026–: Jun Jie Ou Yang Dartmouth CS

STUDENT COMMITTEES

2026: Zhongyu Ouyang CS PhD Thesis Committee
2026: Ivory Yang CS PhD Thesis Committee
2026: Arvind Pillai CS PhD Thesis Committee
2026: Xingjian Diao CS PhD Thesis Committee
2026: Songyun Tao CS PhD Thesis Committee
2026: Hefan Zhang CS PhD Research Presentation Exam
2026: Zhongyu Ouyang CS PhD Research Presentation Exam
2026: Wenjun Liu CS PhD Research Presentation Exam
2026: Zheng Huang CS PhD Research Presentation Exam
2026: Andy Xu BA CS Thesis Committee
2026: Cinay Dilibal BA CS Thesis Committee
2026: Carlos Guerrero Alvarez MS CS Thesis Committee
2026: Tracy Weener MS CS Thesis Committee
2026: Ananaya Jeyappragash MS CS Thesis Committee
2026: Reet Kothari MS CS Thesis Committee
2026: Lejie Liu MS CS (Digital Arts) Thesis Committee
2026: Emma Vejcik MS CS (Digital Arts) Thesis Committee
2026: Wenxuan Xu MS CS (Digital Arts) Thesis Committee
2026: Jemely Robles MS CS (Digital Arts) Thesis Committee
2025: Wayner Barrios CS PhD Thesis Committee
2025: Ivory Yang CS PhD Research Presentation Exam
2025: Omar Sharif CS PhD Research Presentation Exam
2025: Seung Hyun Hahm BA CS Thesis Committee
2025: Annie Tang BA CS Thesis Committee
2025: Alexander Huang-Menders BA CS thesis
2025: Minh Dinh MS CS Thesis Committee
2025: Hongxiao Zheng MS CS (Digital Arts) Thesis Committee
2025: Helen Ma MS CS (Digital Arts) thesis
2022: Maximilian Mueller MS Design Engineering capstone Harvard

MASTER’S RESEARCH ADVISING

2026: Syed Ali Haider
2025, 26: Cindy Liu
2025: Joseph Martinez
2025: Claire Draeger
2025: Xinyi Dong

UNDERGRADUATE RESEARCH ADVISING

2025, 26: Rhianna Smith
2026: Avery Sutherland
2025: Ashley Goh
2025: Rohan Ray
2025: Elmer Sosa
2025: Aamish Beg
2025: Danylo Borodchuk

WIMIR MENTORING PROGRAM

2024: Manvi Agarwal
2023–2024: Ninon Lizé Masclef

BERKLEE MENTOR NETWORK PROGRAM

2024: Gitaansh Ahluwalia
2024: Lanif Azcona

MIT UROP

2024: Luke Mo
2024: Angela Chen
2024: Quinn Langford
2022: Joseph Ntaimo
2021: Ally Hong
2021: Kelly He
2021: Samantha D’Alonzo
2021: Rachel Liu
2020: Jasmine Wu
2018: Sebastian Franjou

SERVICE

COMMITTEES

2024: Machine Learning and Artificial Intelligence — member AES Technical Committee
2023, 2024: AI and Human Experience faculty hiring committee, student representative, 2 searches MIT Media Lab + Schwarzman College

ORGANIZATION

2026: Agent Evaluation Science Symposium
Advisory board member. evalscience.org/2026fall-nyc
2026: Workshop on Agent Behavior COLM 2026
Co-lead organizer with Manuel Cherep (MIT). Other organizers: Hao Zhu (Stanford), Yanzhe Zhang (Georgia Tech), David (Xinyang) Han (UC Berkeley), Ben Manning (MIT), Isotta Magistrali (ETH Zürich), Saab Mansour (Amazon), Weronika Łajewska (Amazon), and Pattie Maes (MIT). aiagentbehavior.com
2025: GenAI for Design Workshop MIT
Co-organized with Dr. Alaa Algargoosh (Virginia Tech), Sarah Mokhtar (MIT), and Dr. Mohammad Amiri (RPI).
2022: Audio Production as Research and Development AES Europe
Co-hosted panel with Dr. Rébecca Kleinberger.

REVIEWING

Panels: NSF
Area Chair: NeurIPS 2025, NeurIPS 2026, ICLR 2026
AI / ML: SIGGRAPH (2026), NeurIPS (2024), NeurIPS D&B (2024), ICLR (2025), ICML (2025), CVPR (2024), ECCV (2024), *ACL Rolling Review (2024, 26), AISTATS (2025), AAAI (2023, 24, 25), ICASSP (2024, 25), WACV (2022, 23), ECML/PKDD (2022), JMLR/MLOSS (2022), and workshops
HCI: CHI (2022, 24, 25, 26), UIST (2023, 24, 26), CSCW (2022, 24), ICWSM (2022, 23, 24, 25), DIS (2022, 23, 24), C&C (2022), TIST (2024), TACCESS (2025), MobileHCI (2022), IMX (2022)
Other: Nature Human Behaviour (2026), Nature Scientific Reports (2024), AI & Society (2026), NIME (2023, 24)

OTHER SERVICE

2023–2024: MIT Media Lab Student Survey Team — mixed-methods data analysis and visualization of student feedback for lab leadership and community
2021–2023: MIT Media Lab Students Offering Support — application review for 5 applicants; informally reviewed many more

SELECTED PRESS

AI AND RELATED RESEARCH

2026: Meet Mark and Sam, the AI agents that ran my errands for a week — Scientific American
2026: Dartmouth Researchers Assess Agentic AI — Dartmouth News
2025: Northeastern mechanistic interpretability workshop aims to make sense of AI systems — Khoury News
2025: OpenAI won’t say whose content trained its video tool. We found some clues — The Washington Post
2025: AI Agents Are Here. How Much Should We Let Them Do? — WIRED
2024: The Data That Powers A.I. Is Disappearing Fast — The New York Times
2024: The AI revolution is running out of data. What can researchers do? — Nature
2024: This is where the data to build AI comes from — MIT Technology Review
2024: Bad Actors, Bad Content, And Walled Gardens, Looking Out For AI Risks — Forbes
2024: AI-Generated Video has Come a Long Way. Can You Spot the Difference? — The Globe and Mail
2024: It’s practically impossible to run a big AI company ethically — Vox
2024: AI Has Created a Battle Over Web Crawling — IEEE Spectrum
2024: Data to train AI models is becoming restricted. Here’s why — Yahoo! Finance
2024: À cause des intelligences artificielles, le Web se ferme de plus en plus — Le Monde
2024: A.I. Companies Are Running Out of Training Data: Study — The Observer
2024: AI Training Can Undermine the Open Web. This Team Is Thinking Through Solutions — Mozilla
2024: Anthropic AI Scraper Hits iFixit’s Website a Million Times in a Day — 404 Media
2024: Crisis Looms as AI Companies Rapidly Losing Access to Training Data — Futurism
2024: L’intelligenza artificiale è a corto di dati? — Startmag
2024: The Backlash Against AI Scraping Is Real and Measurable — 404 Media
2024: Becoming Human — AI’s Next Evolution Part Two: AI and We — Channel News Asia
2024: How to Spot Political Deepfakes — Kellogg Insight
2024: How to spot a deepfake — and prevent it from causing political chaos — Science
2024: Can Parrots Converse? Polly Says That’s the Wrong Question — The New York Times
2023: MIT scholars awarded seed grants to probe the social implications of generative AI — MIT News
2022: A Machine Can Now Do College-Level Math — Inside Higher Ed
2022: New algorithm aces university math course questions — MIT News

MUSIC, ARTS, AND CULTURE

2024: Ph.D. student launches AI music meetup — Boston Business Journal
2023: MIT HUMANS project breaks down borders — MIT News
2020: More than 800 MIT graduates will sing one song together, virtually — The Boston Globe
2020: Hacking Commencement — MIT News
2018: A Rose Out of Concrete — The Bay State Banner
2017: Personifying Art’s Power, Class of 2017 Takes Reins — Berklee News
2017: At Moogfest, Untamed Sounds and Futuristic Protests — The New York Times
2016: Blanchard Explores Electro-Jazz Frontier at Berklee Showcase — DownBeat Magazine
2016: Bhayanak Maut Vocalist Sunneith Revankar’s Solo Debut ‘Pills’ — Rolling Stone India
2014: Far Travel Music release debut EP — NH7 Indiecision