Scholar

Vishal Anand

Google Scholar ID: YV3ZpKQAAAAJ

Senior Applied Scientist, Microsoft; MS Computer Science - Columbia University

Natural Language ProcessingMulti-Modal Machine LearningLow Resource Learning

Citations & Impact

All-time

Citations

104

H-index

i10-index

Publications

Co-authors

list available

Contact

Resume

Academic Achievements

2025: Multiple NLP papers in preparation or under review with collaborators including David M. Rothschild and Kathleen McKeown; one accepted to EMNLP Main Proceedings.
June 2025: Lead inventor on U.S. Patent US 12,321,701 (application 17/981293).
2023: Paper accepted at WWW’23 (acceptance rate 19.8%).
2022: Ranked #1 in NIST TRECVid DVU task on Multimodal Language Understanding.
2021: Ranked #1 in ACM Grand Challenge on Multimodal Semantic Understanding in long-form datasets.
2020: Published three peer-reviewed papers through external collaborations.
2019: Honored as Class Marshal of Columbia University Class of ’19 for academic excellence.
Published works include 'iBERT: Interpretable Style Embeddings via Sense Decomposition' (with Kathleen McKeown) and 'MultiSeg' (with Smaranda Muresan et al., LREC 2020).
Developed 'Low-Resource Interactive Visualization' demo (LREC 2020).

Research Experience

Senior Applied Scientist at Microsoft, leading research in Generative AI, Conversational AI, and Multimodal systems.
Owns the Smart-Reply project and contributes to AI components in the Copilot project.
Served as Research Mentor for an MSR NLP PhD Summer Intern in 2022.
Conducted research on multimodal semantic inference in long-form datasets; delivered invited talks at NIST and Columbia.
Previously contributed to Uber AI, recognized in their official blog.

Background

Senior Applied Scientist at Microsoft working in the Generative AI space.
Leads the Smart-Reply Microsoft Research project (est. 2020), saving ~294,000 hours/year and ~$3.6M annually.
Research focuses on long-tailed domain-specific Conversational AI LLMs and Multimodal AI in the Copilot project.
Collaborates with the Computational Social Science group at Microsoft Research NYC.
Shares insights from Big-Tech research experience through an AI Blog.

Miscellany

Advisory board member of an NGO since 2021, focusing on AI-based education for underprivileged slum children.
Hobbies: Violinist, pianist, portrait artist, half-marathon runner, salsa dancer, Rubik’s Cube solver.
Workouts 4 days/week for two years; holds an orange belt in Shito-Ryu-Genbu-Kai Karate.
Former Wall Street macro delta banker, executing trades between $5M–$50M.
Born into a family where illiterate grandparents signed with fingerprints.

Co-authors

3 total