🧪 My research focuses on improving drug delivery in clogged blood vessels, especially in dead-end vessel geometries where transport is very slow. By engineering solute concentration gradients and tailoring microchannel surface properties, I study how to control particle motion and significantly accelerate transport, reducing delivery times from days to hours. Building on this, I developed tunable hydrogel “beacons” that generate sustained chemical gradients to attract, repel, sort, and organize particles without pumps or external power.

🔬 I have passion for improving people’s lives and protecting the environment began to take shape. My undergraduate research reflected these interests, focusing on capillary flows in suspensions and cohesive grains for dust removal, as well as modeling the physics of rockslides and avalanches.

📖 I was the vice president of the UCSB student chapter of the American Institute of Chemical Engineers (AIChE). In my spare time, I enjoy writing songs and rehearse in the band. I also loves playing basketball with friends.

👬 I am willing to assisting others on their path in the world of microfluidics and academia.

🧪 我的研究聚焦于改善血管堵塞处的药物输运，尤其是输运极慢的死端血管几何结构。通过设计溶质浓度梯度并定制微通道表面性质，我研究如何控制颗粒运动、显著加速输运过程，把药物到达时间从几天压缩到几小时。在此基础上，我开发了可调谐的水凝胶「信标」——它们能产生持续的化学梯度，在不依赖泵或外部能源的情况下吸引、排斥、分选并组织颗粒。

🔬 我对改善人们的生活、保护环境一直怀有热情。本科阶段的研究就反映了这种兴趣，涉及悬浮液中的毛细流动、用粘性颗粒去除粉尘，以及对滑坡和雪崩物理过程的建模。

📖 我曾担任 UCSB 美国化学工程师协会（AIChE）学生分会副主席。业余时间我喜欢写歌，在乐队里排练。也喜欢和朋友打篮球。

👬 我也乐意陪伴更多人走进微流控和学术的世界。

I have experience contributing to C-Thru Global Project a 3-year, US $4m, international research project which aims to deliver carbon clarity for the global petrochemical sector. I helped quantify the energy and emissions footprints of global chemical supply chains and identify technologies for rapid decarbonization. I also constructed, tested, and refined mass and energy balance models of chemical process systems, and develop technology databases

我参与了 C-Thru 全球项目——一个为期 3 年、400 万美元的国际研究项目，旨在为全球石化行业提供碳清晰度。我协助量化全球化工供应链的能源与排放足迹，识别可快速脱碳的技术；同时搭建、测试并迭代化工流程的物料与能量平衡模型，并构建技术数据库。

I have experience working in PepsiCo as a research and development intern. I really enjoyed the good working atmosphere with a lot of delicious food. 😆 I helped Leverage AI techniques such as EXCEL, Python Modules, and Power BI to abstract universal parameters and requirements for specific ingredients that are commonly used in PepsiCo. I also enabled product developers a knowledge-based ingredient specification baseline for a new ingredient spec for their innovations

我曾在 百事 担任研发实习生，工作氛围很好，还有源源不断的好吃的。😆 我借助 Excel、Python 模块和 Power BI 等 AI 工具，从百事常用原料中抽象出通用的参数与规格要求，并为产品研发人员搭建了一份可复用、基于知识库的新原料规格基线，支持他们的创新工作。