Dr. Rachel Kim

Assistant Professor of Computer Science

📧 rachel.kim@university.edu | 📱 (555) 345-9012
🏛️ Department of Computer Science, Tech University
🔗 rachelmkim.com | 📚 Google Scholar

Research Interests

Artificial Intelligence, Natural Language Processing, Machine Learning, Computational Linguistics, Deep Learning for Language Understanding, Multilingual NLP, Low-Resource Languages

Academic Appointments

Assistant Professor | Tech University | Boston, MA
Department of Computer Science
September 2020 - Present

Teaching graduate and undergraduate courses in AI, NLP, and Machine Learning
Supervising 6 Ph.D. students and 4 Master's students
Leading research lab with $2.5M in grant funding
Serving on departmental curriculum and graduate admissions committees

Postdoctoral Researcher | Stanford University | Stanford, CA
Stanford NLP Group
September 2018 - August 2020

Conducted research on multilingual language models under Prof. Christopher Manning
Published 5 papers in top-tier conferences (ACL, EMNLP, NAACL)
Collaborated with Google Research on cross-lingual transfer learning

Education

Ph.D. in Computer Science | MIT | Cambridge, MA
September 2013 - August 2018
Dissertation: "Deep Learning Approaches for Low-Resource Natural Language Processing"
Advisor: Prof. Regina Barzilay
Committee: Prof. Tommi Jaakkola, Prof. Michael Collins, Prof. Jacob Andreas

M.S. in Computer Science | Carnegie Mellon University | Pittsburgh, PA
September 2011 - May 2013
GPA: 4.0/4.0
Thesis: "Statistical Machine Translation for Morphologically Rich Languages"

B.S. in Computer Science & Mathematics | UC Berkeley | Berkeley, CA
September 2007 - May 2011
Summa Cum Laude, GPA: 3.95/4.0
Phi Beta Kappa, Departmental Honors

Publications

Journal Articles

Kim, R., Chen, L., & Manning, C. (2023). "Massively Multilingual Neural Machine Translation for 200+ Languages." Transactions of the Association for Computational Linguistics, 11, 847-863. [Impact Factor: 6.7]
Kim, R. & Barzilay, R. (2022). "Cross-Lingual Transfer Learning for Low-Resource Languages." Journal of Artificial Intelligence Research, 73, 1205-1240. [Impact Factor: 5.4]
Zhao, Y., Kim, R., et al. (2021). "Zero-Shot Cross-Lingual Named Entity Recognition." Computational Linguistics, 47(3), 589-625. [Impact Factor: 7.2]

Conference Papers (Peer-Reviewed)

Kim, R., et al. (2024). "Efficient Few-Shot Learning for Multilingual Models." Annual Meeting of the Association for Computational Linguistics (ACL). Bangkok, Thailand. [Acceptance Rate: 22%]
Lee, S. & Kim, R. (2023). "Adversarial Training for Robust NLP Models." Conference on Empirical Methods in Natural Language Processing (EMNLP). Singapore. [Acceptance Rate: 24%]
Kim, R., Martinez, A., & Chen, L. (2023). "Language-Agnostic Representation Learning." International Conference on Learning Representations (ICLR). Kigali, Rwanda. [Acceptance Rate: 31%]
Kim, R. & Manning, C. (2022). "Unsupervised Cross-Lingual Alignment of Word Embeddings." North American Chapter of the ACL (NAACL). Seattle, WA. [Acceptance Rate: 25%]
Kim, R., et al. (2021). "Transfer Learning for Low-Resource Neural Machine Translation." Annual Meeting of the ACL. Virtual Conference. [Best Paper Award]
Chen, L., Kim, R., & Manning, C. (2020). "Multilingual BERT for Cross-Lingual Understanding." EMNLP. Virtual Conference.
Kim, R. & Barzilay, R. (2019). "Semi-Supervised Learning for Neural NLP." ACL. Florence, Italy.

Workshop Papers & Short Papers

11-15. Additional 5 workshop papers at NeurIPS, ICML, and ACL workshops (2019-2024)

Total Citations: 1,850+ (Google Scholar)
h-index: 14
i10-index: 18

Grants & Funding

Principal Investigator

NSF CAREER Award - "Multilingual NLP for Underrepresented Languages"
National Science Foundation, 2023-2028
$550,000
Google Research Scholar Program - "Efficient Cross-Lingual Transfer Learning"
Google, 2022-2024
$150,000
Amazon Research Award - "Low-Resource Language Understanding"
Amazon, 2021-2023
$100,000

Co-Principal Investigator

NSF Collaborative Grant - "AI for Social Good: Multilingual Information Access"
With Prof. Maria Santos (UC Berkeley), 2023-2026
$850,000 (Total); $400,000 (My portion)

Total Research Funding: $2.5M+ (as PI or Co-PI)

Teaching Experience

Tech University (2020-Present)

Graduate Courses:

CS 6120 - Advanced Natural Language Processing (Fall 2021, 2022, 2023)
CS 6130 - Deep Learning for NLP (Spring 2021, 2022, 2023, 2024)
CS 7990 - Seminar in AI Research (Fall 2023, 2024)

Undergraduate Courses:

CS 4120 - Introduction to Natural Language Processing (Fall 2020, Spring 2024)
CS 3120 - Introduction to Machine Learning (Spring 2021)

Student Evaluations: 4.7/5.0 average across all courses

Stanford University (2018-2020)

Guest Lecturer:

CS 224N - Natural Language Processing with Deep Learning (6 lectures)
CS 229 - Machine Learning (3 lectures)

Advising & Mentoring

Current Ph.D. Students

Sarah Johnson (2022-Present) - "Efficient Multilingual Models for Resource-Constrained Deployment"
Miguel Santos (2022-Present) - "Cross-Lingual Transfer for African Languages"
Yuki Tanaka (2021-Present) - "Few-Shot Learning for NLP"
Ahmed Hassan (2021-Present) - "Arabic Natural Language Understanding"
Emily Zhang (2020-Present) - "Interpretability in Neural NLP Models"
David Park (2020-Present) - "Multilingual Question Answering"

Graduated Ph.D. Students

None yet (first students expected to graduate in 2025)

Master's Students Supervised

4 current Master's thesis students
8 graduated Master's students (2020-2024)

Undergraduate Researchers

Mentored 15+ undergraduate students on research projects
3 students published as co-authors on conference papers
5 students continued to Ph.D. programs at top institutions

Invited Talks & Presentations

Keynote Speaker - "The Future of Multilingual NLP" - Asian NLP Symposium (2024)
Invited Talk - Google Research (2023)
Invited Talk - Meta AI Research (2023)
Distinguished Lecture - Carnegie Mellon University (2022)
Invited Talk - Microsoft Research (2022)
Seminar Speaker - MIT CSAIL (2021)
Invited Tutorial - "Cross-Lingual Transfer Learning" - NAACL (2021)

Professional Service

Conference Roles

Area Chair: ACL (2023, 2024), EMNLP (2022, 2023), NAACL (2024)
Program Committee Member: ACL (2019-2024), EMNLP (2019-2024), NAACL (2020-2024), ICLR (2022-2024), NeurIPS (2021-2024)
Workshop Organizer: "Multilingual Representation Learning" - ACL (2023, 2024)

Journal Reviewing

Transactions of the Association for Computational Linguistics (TACL)
Computational Linguistics
Journal of Artificial Intelligence Research (JAIR)
Machine Learning Journal

Department & University Service

Graduate Admissions Committee - Tech University CS (2021-Present)
Curriculum Committee - Tech University CS (2022-Present)
Faculty Search Committee - Tech University CS, NLP Position (2023)
Diversity & Inclusion Committee - Tech University CS (2020-Present)

Honors & Awards

NSF CAREER Award (2023)
Google Research Scholar (2022)
Best Paper Award - ACL (2021)
Outstanding Reviewer Award - EMNLP (2022, 2023)
Rising Star in EECS - MIT (2020)
Best Dissertation Award Finalist - MIT EECS (2018)
Facebook Fellowship (2016-2018)
NSF Graduate Research Fellowship (2013-2016)
Phi Beta Kappa - UC Berkeley (2011)
Departmental Citation - UC Berkeley CS (2011)

Professional Memberships

Association for Computational Linguistics (ACL)
Association for the Advancement of Artificial Intelligence (AAAI)
North American Chapter of ACL (NAACL)
IEEE
ACM

Technical Skills

Programming Languages: Python, C++, Java, R
ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, JAX
Tools: CUDA, Git, LaTeX, Linux/Unix
Languages: English (Native), Korean (Native), French (Intermediate), Spanish (Basic)

Additional Information

Citizenship: United States
References: Available upon request

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