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| ## Welcome to GitHub Pages | ||
| # YUZHUO (BELINDA) WU | ||
| Beijing, China | +86 18709112224 | wyzbelinda@gmail.com |https://www.linkedin.com/in/yuzhuo-belinda-wu/ | ||
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| You can use the [editor on GitHub](https://github.com/wyzBelinda/wyzbelinda.github.io/edit/main/README.md) to maintain and preview the content for your website in Markdown files. | ||
| ## CAREER OBJECTIVE | ||
| 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. | ||
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| Whenever you commit to this repository, GitHub Pages will run [Jekyll](https://jekyllrb.com/) to rebuild the pages in your site, from the content in your Markdown files. | ||
| ## KEY ACHIEVEMENTS | ||
| - 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%. | ||
| - 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. | ||
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| ### Markdown | ||
| ## SKILLS | ||
| ### Technical Skills | ||
| - **Machine Learning**: TensorFlow, PyTorch, NLP tools (e.g., HanLP) | ||
| - **Big Data**: MapReduce, Hive, Yarn | ||
| - Programming: C++, Python, Java, SQL | ||
| - Web Development: SpringMVC, JavaScript, HTML/CSS | ||
| - Database Management: SQL, MongoDB | ||
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| Markdown is a lightweight and easy-to-use syntax for styling your writing. It includes conventions for | ||
| ### Project Management & Soft Skills | ||
| - 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 | ||
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| ```markdown | ||
| Syntax highlighted code block | ||
| ## PROFESSIONAL EXPERIENCE | ||
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| # Header 1 | ||
| ## Header 2 | ||
| ### Header 3 | ||
| ### AIGC for BioMed Engineer | Tsinghua University Institute for Artificial Intelligence (AIR) | ||
| *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. | ||
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| - List | ||
| ### Venture Capital Intern | Cardinal Pitch Club | ||
| *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. | ||
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| 1. Numbered | ||
| 2. List | ||
| ### Project Manager | Sichuan Huadi Technology Co., Ltd. | ||
| *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. | ||
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| **Bold** and _Italic_ and `Code` text | ||
| ## RESEARCH EXPERIENCE | ||
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| [Link](url) and  | ||
| ``` | ||
| ### 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. | ||
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| For more details see [Basic writing and formatting syntax](https://docs.github.com/en/github/writing-on-github/getting-started-with-writing-and-formatting-on-github/basic-writing-and-formatting-syntax). | ||
| ### 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). | ||
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| ### Jekyll Themes | ||
| ## PROJECTS | ||
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| Your Pages site will use the layout and styles from the Jekyll theme you have selected in your [repository settings](https://github.com/wyzBelinda/wyzbelinda.github.io/settings/pages). The name of this theme is saved in the Jekyll `_config.yml` configuration file. | ||
| ### Design and Implementation of Xifeng Lightning Monitoring and Analysis System | ||
| *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. | ||
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| ### Support or Contact | ||
| ### 2.5 Billion Floating-Point External Sorting Algorithm Acceleration and Optimization | ||
| *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. | ||
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| Having trouble with Pages? Check out our [documentation](https://docs.github.com/categories/github-pages-basics/) or [contact support](https://support.github.com/contact) and we’ll help you sort it out. | ||
| ## EDUCATION | ||
| - **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 |