Mufeng Wei / 魏牧丰

I study

About Me

PhD Candidate @ UC Berkeley

I currently work on solving the water decontamination problem by developing new polymer catalysts that can decompose ester pollutants to less toxic molecules.

I am interested in developing new materials, writing code to solve problems, quantitative trading, and venture capital...

I've called Wuhan, Beijing, and Berkeley home.

I am always down for building cool things with science & code.

I like playing basketball, playing and watching online games (Overwatch and DOTA2), and k-pop(IU, Jennie, Jihyo).

Fun fact about me: I am so scared of birds, or anything with feathers!

Skills

Programming

General: Python, Javascript

Data Analysis and Data Engineering: MySQL, SQLite, PostgreSQL, MongoDB, Apache Cassandra, psycopg2, SQLAlchemy, Firebase, Spark, Apache Airflow

Web Development: HTML, CSS, Javascript, Node js, Express, Flask, React

Miscellaneous: Machine Learning, AWS, Natural Language Processing


Finance

CFA Level I: Passed

badge

Chemistry

Polymer Synthesis: RAFT, ATRP, ROMP, COFs, MOFs

Organic Synthesis: Air-free synthesis, NMR, UV-Vis, HPLC, LCMS, GCMS, IR, DLS, GPC, SAXS, EXAFS, PXRD, TGA

Simulation: DFT, all-atom MD

Resume

Some highlights from my CV. For a complete version, please go to this link.

Education

PhD in Chemistry

2017 - Present

University of California, Berkeley

Research and coursework in polymer chemistry and catalysis.

Bachelor of Management in Business Administration

2013 - 2017

Tsinghua University, Beijing

Coursework in accounting principles, economics, corporate finance, introduction to business, marketing management, leadership, information management, etc.

B.S. in Chemistry and Biology

2013 - 2017

Tsinghua University, Beijing

Coursework in general chemistry, organic chemistry, inorganic,chemistry, physical chemistry, supramolecular chemistry, biology, etc.

Professional Experience

Intern Business Analyst

2022

FIRHealth Venture Capital

  • Analyzed business plans and financal reports.
  • Evaluated company performances and risks.
  • Completed market research reports on cell and gene therapy, next-generation sequencing, and CGT CDMO.

Teaching Experience

Chemical Structure and Reactivity (Chem 3A) GSI

2017, 2020

General Chemistry (Chem 1A) GSI

2018, 2019, 2021

University of California, Berkeley

  • Taught organic/general chemistry to around 60 students.
  • Designed course materials, taught labs, graded homework, and proctored exams.

Projects

Check out some of my projects and publications!

  • All
  • Chem
  • Code

Crystalline Dioxin-Linked Covalent Organic Frameworks from Irreversible Reactions

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY COMMUNICATION

Backbone-Photodegradable Polymers by Incorporating Acylsilane Monomers via Ring-Opening Metathesis Polymerization

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY COMMUNICATION

Gold Catalysis-Facilitated Rapid Synthesis of the Daphnane/Tigliane Tricyclic Core

TETRAHEDRON ARTICLE

Mild and Selective Cobalt-Catalyzed Chemodivergent Transfer Hydrogenation of Nitriles

ANGEWANDTE CHEMIE ARTICLE

Random Heteropolymers Workflow

Simulation of Copolymerization, Sequnce Analysis, and Prediction of Conformation Parameters by Machine Learning

A Simple E-Commerce Web Application

SAMPLE PROJECT FROM A REACT COURSE

Collection of Sample Code on Quant Trading with ML and NLP

Udacity AI FOR TRADING NanoDegree

Data Engineering Projects

Udacity Data Engineering NanoDegree