Emotionally Aware AI Models: An Evaluation-and Safety-Centric Survey
Nicole Hao. (2026). "Emotionally Aware AI Models: An Evaluation-and Safety-Centric Survey." ResearchGate Preprint.
CV
Education
- Post-grad degree in Neuroscience, Harvard University, 2025 - 2026
- M.Eng. in Computer Science (AI Concentration), Cornell University, 2024 - 2025
- B.A. in Mathematics (CS Concentration with Honors), Cornell University, 2021 - 2024
Work Experience
- May 2025 - Present: Founding Engineer, Janet AI, San Fracisco, CA
Jul 2025 - Apr 2026: Software Engineer, Artian AI, New York, NY
- Jun 2024 - Present: Founder, Lead AI Engineer, InkSight, Cornell eLab
- Built AI-powered note-taking tool with real-time speech-to-text and multimodal processing
- Led 3-person team through Cornell’s entrepreneurship accelerator
- Nov 2024 - Jun 2025: Software Engineer, Cornell AI Innovation Lab
- Developed RAG-based chatbot and analytics dashboard for veterinary and agricultural applications
Research Experience
- Nov 2024 - Present: Independent Researcher, Multimodal Learning, Cornell University
- Advisor: Prof. Jennifer Sun
- Developing multimodal STEM video dataset and AI-assisted annotation tool for vision-language model evaluation
- Nov 2024 - May 2025: Research Assistant, Robot Learning, EmPRISE Lab, Cornell University
- Implemented ROS-based motion planning and A* path-finding for autonomous navigation
- Aug 2023 - Aug 2024: Research Assistant, LLM Compression, Cornell University
- Advisor: Prof. Anil Damle
- Researched low-rank compression techniques for BERT using randomized numerical linear algebra
- Aug 2023 - Jan 2024: Researcher, Deep Learning, Cornell University
- Advisor: Prof. Yunan Yang
- Investigated knowledge distillation under noisy labels and Sobolev bounds for neural operators
- Jun 2023 - Aug 2023: Researcher, Numerical Analysis, Ohio State University
- Advisor: Prof. John Holmes
- Derived parabolic PDEs for options pricing using SDEs; implemented finite difference schemes in MATLAB
- May 2022 - Aug 2022: Nexus Research Scholar, Cornell University
- Advisors: Prof. Ray Jayawardhana and Dr. Laura Flagg
- Built ML pipeline for solar flare classification using PCA and SVM
- Dec 2021 - May 2022: Undergraduate Researcher, Orbital Mechanics, SIOS Lab, Cornell University
- Implemented orbital dynamics simulation and PD control for starshade station-keeping
Skills
- Languages: Python, Java, C/C++, MATLAB, Julia, SQL, Bash, TypeScript/JavaScript, React
- ML/AI: Multimodal learning, LLM/VLM evaluation, model compression, RAG, PyTorch, TensorFlow, Transformers
- Systems: Git, Docker, Linux, CI/CD, AWS, Azure, ROS
- Tools: NumPy, Pandas, OpenCV, MPI, OpenMP, CUDA, Figma, Jira
Publications
Quantitative Sobolev Approximation Bounds for Neural Operators with Empirical Validation on Burgers’ Equation
Nicole Hao. (2025). "Quantitative Sobolev Approximation Bounds for Neural Operators with Empirical Validation on Burgers Equation." In submission to Mach. Learn.: Sci. DOI: 10.13140/RG.2.2.32739.62248
InkSight: A Multimodal STEM Lecture Video Dataset and Data Labeling Tool
Nicole Hao. (2025). "InkSight: A Multimodal STEM Lecture Video Dataset and Data Labeling Tool." Work In Progress.
Detecting and Classifying Solar Flares in High-Resolution Solar Spectra using Supervised Machine Learning
Nicole Hao, Laura Flagg, Ray Jayawardhana. (2024). "Detecting and Classifying Solar Flares in High-Resolution Solar Spectra using Supervised Machine Learning." The Astrophysical Journal.
Option Pricing with Stochastic Volatility, Equity Premium, and Interest Rates
Nicole Hao, Echo Li, Diep Luong-Le. (2024). "Option Pricing with Stochastic Volatility, Equity Premium, and Interest Rates." The Joint Mathematics Meeting.
Talks
InkSight: Inspiring All Learners using AI
Entrepreneurship Showcase at Cornell Tech Entrepreneurship Showcase, New York City Metropolitan Area
Option Pricing with Stochastic Volatility, Equity Premium, and Interest Rates
Research Presentation at Joint Mathematics Meeting (JMM), San Francisco, California
Option Pricing with Stochastic Volatility
Conference Talk at Young Mathematicians Conference (YMC), Columbus, Ohio
Financial Mathematics: Stochastic Models for Option Pricing
Research Presentation at Consortium of Summer Undergraduate Research Experiences (CSURE), Columbus, Ohio
Solar Flare Classification using Machine Learning
Conference Talk at Rochester Symposium for Physics Students (RSPS), Rochester, New York
Supervised Machine Learning for Solar Flare Classification
Symposium Talk at Cornell University Exoplanet Symposium, Ithaca, New York
Using Supervised Machine Learning to Detect and Classify Solar Flares
Conference Presentation at Conferences for Undergraduate Women in Physics (CUWiP), Ithaca, New York
Detecting Solar Flares in High-Resolution Spectra using Supervised Machine Learning
Research Symposium at Nexus Research Scholars Symposium, Ithaca, New York
Teaching Experience
- Jul 2025 - Present: Python Tutor, Coding4Youth
- Aug 2021 - Jan 2025: Programming & Mathematics Tutor, GoPeer
Honors & Awards
- Cornell Tech Entrepreneurship Showcase (2025)
- Cornell eLab Student Startup Accelerator (2024)
- NSF LEAPS-MPS Grant (2023)
- Nexus Research Scholar (2022)