Beijing, China | +86 18709112224 | wyzbelinda@gmail.com |https://www.linkedin.com/in/yuzhuo-belinda-wu/
As an AI and computational biology specialist with experience in AI-driven health-tech solutions, I am seeking roles in Technical Project Management or AI Product Management within Silicon Valley's health-tech industry. My background in algorithm development, leadership, and team management positions me to drive innovation in AI healthcare.
- Ranked 56th out of 10,006 participants (Top 0.56%) in the 2021 Asia Pacific Ophthalmology Society Big Data Competition for developing an innovative AI model to predict patient responses to retinal disease treatments, potentially reducing diagnosis time by 30%.
- Ranked 24th out of 1,438 teams (Top 1.67%) in the Tencent Light Charity Challenge, creating an AI-powered solution for wildlife conservation that improved species identification accuracy by 25%.
- Interviewed by Toastmaster International
- First Class Scholarship, Chinese Academy of Sciences University, for outstanding academic performance and research in AI for healthcare.
- Outstanding Student Leader, Xi'an Jiaotong University, recognized for leading a cross-functional team in developing an AI-driven campus navigation system, improving accessibility for 30,000+ students.
- Machine Learning: TensorFlow, PyTorch, NLP tools
- Big Data: MapReduce, Hadoop, Hive, Yarn
- Programming: C++, Python, Java, SQL
- Web Development: JavaScript, HTML/CSS, SpringMVC
- Database Management: SQL, MongoDB
- Tools & Methodologies: JIRA, Trello, Asana, Agile, Scrum, Kanban
- Leadership: Successfully led cross-functional teams for 3+ years, ensuring on-time project delivery in complex AI initiatives
- Communication: Fluent in English and Mandarin, proficient in technical presentations and stakeholder management
- Adaptability: Proven ability to lead teams in fast-paced startup environments, ensuring on-time delivery of AI products under tight deadlines
- Problem-solving: Innovative approach to algorithm optimization and system design
- International Collaboration: Experienced in collaborating with global teams and adapting to diverse work environments
Aug 2023 – Jan 2024, Beijing, China
- Developed RLHF strategies and model designs integrating LLM with protein drugs, potentially accelerating drug discovery processes by 40% and reducing clinical trial costs by an estimated 20%.
- Coordinated a cross-functional team of 8 members, bridging communication between AI researchers and biomedical experts, resulting in a 30% increase in project efficiency and shortening research timelines by an average of 2 months.
- Co-organized large-scale medical model seminars, facilitating knowledge exchange among 200+ professionals in the AI-healthcare intersection, leading to 3 new research collaborations and a joint grant proposal worth $500,000.
Jul 2019 – Sep 2019, Silicon Valley, USA
- Gained deep insights into the Silicon Valley startup ecosystem through hands-on experience in event organization and direct collaboration with blockchain companies.
- Organized a successful tech conference at Stanford University, attracting 150+ entrepreneurs and investors, resulting in 5 new startup partnerships with a combined valuation of $10M. Two of these startups have since raised Series A funding, with one achieving unicorn status.
- Interviewed founders of four local blockchain companies, contributing to promotional video production and market analysis reports that informed investment decisions, leading to a $2M investment in a promising startup which has now expanded operations to three countries.
Feb 2019 – Mar 2019, Chengdu, China
- Led a 5-person cross-functional team in analyzing social pain points and implementing big data solutions using MapReduce and Yarn.
- Improved project efficiency by 30% through effective task allocation and agile project management techniques.
- Successfully delivered the project 2 weeks ahead of schedule, resulting in early market entry for the client's product and a 15% increase in first-month user acquisition.
Lead Researcher | "Oligonucleotide Mass Spectrometry Identification Method for RNA Post-transcriptional Modification Analysis"
Oct 2022 - Present, Chinese Academy of Sciences
- Developing a novel search engine for identifying RNA post-transcriptional modifications, increasing identification accuracy by 25% in preliminary tests.
- Managing a team of 3 researchers, coordinating efforts between computational biologists and mass spectrometry experts, resulting in a 40% reduction in analysis time.
- Potential impact: Enhancing the efficiency of RNA modification identification crucial for COVID-19 vaccine and drug development, potentially reducing research time by 30% and accelerating vaccine development timelines.
Second Author | "PepPre: Promote Peptide Identification Using Accurate and Comprehensive Precursors"
Jul 2022 - Feb 2023, Chinese Academy of Sciences
- Validated the PepPre algorithm against 8 existing algorithms using large-scale proteomics data, demonstrating a 15% improvement in peptide identification accuracy.
- Collaborated with international research teams, effectively managing communication across different time zones and cultural backgrounds, resulting in a paper accepted by Nature Methods, a top-tier journal in the field (Impact Factor: 41.714).
Jan 2019 – Jan 2020, Guiyang, China
- Independently designed and implemented a full-stack lightning monitoring system (20,000 lines of code).
- Reduced data processing time by 30%, benefiting over 500 users in the Xifeng Power Supply Bureau and improving operational efficiency by 25%.
- Utilized SpringMVC, JavaScript, and SQL for robust web development and database management, resulting in a system uptime of 99.9% and a 40% reduction in weather-related power outages.
May 2021 – Jul 2021, Beijing, China
- Optimized sorting speed from over 300s to 57s under 500M memory constraint, achieving a 5x performance improvement.
- Reduced computational costs by 50% for large-scale datasets.
- Successfully coordinated efforts and ensured timely delivery of the optimized algorithm, which was subsequently adopted by two major data processing companies.
- Master of Science in AI for Science | Institute of Computing Technology, Chinese Academy of Sciences | Sep 2021 – Jul 2024
- Bachelor of Science in Software Engineering | Xi'an Jiaotong University | Sep 2016 – Jul 2020