HANKS OUYANG

About Me

Interest Of Research

Sport Life

Life Science: How TCR-T Kill Cancer Cells

Research Projects

After completing my master program of Information Systems at Hofstra University, I am pursuing MS Artificial Intelligence at Northeastern University. My motivation and adaptability drive my pursuit of advanced academic and research opportunities in related fields.
Computer skills: R, Python, PyTorch, SAS, SQL, Tableau, JAVA, CSS
Certificate: SAS Certified Specialist, SAS Clinical Trials Programming Accelerated Version
Patent: A new type of temperature-controlled cell incubator

I created below video for my former company, Fineimmu, utilizing AI to succinctly explain the rationale behind TCR-T, a groundbreaking technology in cancer treatment. This underscores the growing significance of AI in the pharmaceutical and biopharmaceutical industries. For instance, AI technologies like machine learning and deep learning aid scientists in deciphering the mutation patterns of proteins. This advancement facilitates TCR's ability to detect and identify cancer cells more efficiently. Although there's still much progress to be made, it's important to remain optimistic about the potential benefits AI can bring to humanity.

Predictive diagnosis for ER(ongoing)

Design a healthcare AI model for ER in a hospital, which can identify diseases rapidly and avoid misdiagnosis or missed diagnosis. (Advisor: Dr. Saeed Amal)

Stroke prediction from UK Biobank

Developed a sophisticated neural network model to predict stroke occurrence, achieving 97% accuracy. (Advisor: Jayon Lihm).

Glioblastoma subtyping via machine learning(ongoing)

Explore a path of precision medicine using transformer models for subtype classification on Glioblastoma(a type of malignant tumors). (Advisor: Dr. Tala Talaei Khoei/Dr. Shibiao Wan)

Accuracy improvement on image recognition

Used neural network to improve accuracy rate 98%. (Advisor: Dr. Alexander Pelaez)

Analysis for PD-1 (Programmed cell death protein 1) efficacy

Leveraged machine learning models to learn patterns or representations from graphs with unlabeled data derived from tumor samples. (Advisor: Dr. Haiping Liu)

Research grant and equity financing

Applied for government project funding on T cell receptor therapy and IVD research and secured 2 million RMB in grants. Deeply involved in Series A equity financing and secured 55 million RMB in investment.

Health

Conduct machine learning to seek the best solution for healthcare institutes

Precision Medicine

Leverage Artificial Intelligence and Digital Pathology for disease diagnosis and patient care

Pharmaceuticals

Accelerate the discovery of new therapies or drugs via self-evolution or self-learning algorithms, and improves drug research, customizes treatment plans, and mitigates adverse reactions.