Richard Hu
Quantitative Technologist @ Radix Trading
About
Hi! I’m Richard, a Quantitative Technologist at Radix Trading in Chicago. Before that, I completed my BS in Electrical Engineering and Computer Science at UC Berkeley where I taught CS 70 for 7 semesters and lead a research group exploring federated learning, advised by James Demmel.
Employment History
Radix Trading
Chicago, IL
Quantitative Technologist
August 2023 - Present
I work on the Trading Ops Team. Currently, I am writing alphas for our high-frequency trading strategies.
C++
The Voleon Group
Berkeley, CA
Software Engineer Intern
May 2022 - August 2022
I worked on the Infrastructure Engineering Team, where I developed APIs and created a dashboard to collect test metrics and identify flaky tests. I also profiled and analyzed Airflow DAGs to search for sources of slowdown in production jobs.
Python • Docker • Groovy • Elasticsearch • Kibana • Airflow
Amazon
Bellevue, WA
Software Development Engineer Intern
May 2021 - August 2021
I worked on the On-Road Execution Team, where I developed an internal debugging tool to rapidly retrieve transporter itineraries by transporter ID and time stamp.
Java • Typescript • AWS S3 • AWS Glue • AWS Kinesis • AWS CDK
Academic History
University of California, Berkeley (08/2019 - 05/2023)
B.S., Electrical Engineering and Computer Sciences - GPA: 3.93/4.0
Technical Coursework
- CS 61A - The Structure and Interpretation of Computer Programs
- CS 61B - Data Structures
- CS 61C - Great Ideas in Computer Architecture
- CS 70 - Discrete Mathematics and Probability Theory
- CS 162 - Operating Systems and System Programming
- CS 170 - Efficient Algorithms and Intractable Problems
- CS 188 - Introduction to Artificial Intelligence
- CS 189 - Introduction to Machine Learning
- CS C267 - Applications of Parallel Computers (Graduate)
-
CS 294-220 - Computational Learning Theory (Graduate)
- EE 16A - Designing Information Devices and Systems I
- EECS 16B - Designing Information Devices and Systems II
- EE 120 - Signals and Systems
- EECS 126 - Probability and Random Processes
-
EECS 127 - Optimization Models in Engineering
- MATH 53 - Multivariable Calculus
-
MATH 110 - Linear Algebra
- STAT 150 - Stochastic Processes
- STAT 157 - Forecasting
Honors
- Dean’s List
- EECS Honor Society
- Eta Kappa Nu (HKN) Honor Society
- Outstanding Graduate Student Instructor Award
Teaching
- CS 70 - Discrete Mathematics and Probability Theory
- Head TA: Spring 2023, Fall 2022, Spring 2022, Fall 2021, Spring 2021
- TA: Fall 2020, Summer 2020
Redlands High School (08/2015 - 05/2019)
- AIME Qualifier: 2018, 2019
Misc.
I’m an avid hiker and backpacker and aspiring mountaineer and alpinist. I also enjoy art, cinema, literature, and working out.
My best times for solo completions of the Daily New York Times Crosswords using no checks or aids (e.g. Google search, dictionary):
| Day | Time | Puzzle Publication Date |
|---|---|---|
| Monday | 6:35 | April 24, 2023 |
| Tuesday | 18:22 | February 15, 2022 |
| Wednesday | 20:26 | November 16, 2022 |
| Thursday | ❌ | ❌ |
| Friday | ❌ | ❌ |
| Saturday | ❌ | ❌ |