About Me
I am a second-year Master’s student at the University of Pennsylvania, specializing in Artificial Intelligence. My research is centered on advancing AI for medical applications, with a particular focus on pathology, to help clinicians improve diagnostic precision. My work involves computer vision for medical image segmentation and classification. I am passionate about developing AI systems that are not only high-performing but also interpretable, robust, and ethically aligned for meaningful real-world impact.
Education
- GPA: 4.0/4.0
- Relevant Coursework: Machine Learning, NLP, Deep Learning, Bayesian Optimization
- GPA: 3.88/4.0, Cum Laude
- Honors: University Honors Scholar, Dean’s List
- Relevant Coursework: Algorithms, Machine Learning, Computer Graphics, Computer Systems Organization, Computer Simulation, Data Management and Analysis, Parallel Computing, Numerical Analysis, Real Analysis, Ordinary Differential Equations
Experience
Research
- Developed NuClass, a ViT-based vision–language model for zero-shot nuclei classification using ontology-guided prompts.
- Co-developed DeepTraceReward, a reward model benchmark for video fakeness that surpassed GPT-4.1 by 20.5% on fake clue detection.
- Utilized machine learning and data analytics to guide CitiBike station deployment decisions in the SoHo neighborhood of New York City.
- Improved segmentation of small abdominal organs, including the adrenal glands, by fine-tuning MedSAM on 8,000 radiology images.
Teaching
- Courses: Data Structures (Prof. Joanna Klukowska) & Calculus I (Prof. Silvia Espinosa Gútiez)
- Led review sessions, designed quizzes, graded assignments, and provided feedback to over 100 students per semester.
Publications
NuClass: An ontology-driven vision–language foundation model for zero-shot nuclei classification
Learning Fine-grained Rewards on Video Generation Fakeness via Multimodal Language Models
Community Involvement
NYU Women in Science (WINS) Scholar
As a WINS Scholar, I was part of a cohort selected for academic achievement and a commitment to making STEM fields more inclusive. The program nurtures talent through individualized research opportunities and mentoring. We met regularly with instructors and leading scientists, offered peer support, and worked to raise campus awareness of the profound contributions women have made to the sciences. If you'd like to learn more, please don’t hesitate to reach out to me. Apply Here.
Miscellaneous
🌊 My Hometown: Qingdao
I was raised in Qingdao (青岛), a beautiful coastal city in China known for its red roofs and sea breeze. It’s where my love for the ocean and a slower pace of life began.
🎶 My Favorite Artist: Lana Del Rey
I am drawn to the cinematic melancholy and poetic storytelling of Lana Del Rey. Her music feels both nostalgic and dreamlike. Over the years, I’ve collected many of her vinyl records, and they remain some of my most cherished possessions.
📷 My Hobby: Film Photography
I’m a beginner film camera collector. I love how film captures imperfections and quiet details that digital often misses, helping me freeze time in its most delicate form.
🌟 Why I Keep These Things
These passions help me find peace in slow, intentional experiences. They inspire me to approach technical work with creativity and emotion, reminding me of who I am outside of academics and research.