CHERYL LIU
New York
Overview
15
15
years of professional experience
Work History
Associate Lecturer
Columbia University
08.2018 - Current
- Taught graduate-level courses in Data Science, Statistics, and Machine Learning, serving over 500 students across multiple semesters.
- Supervised and mentored graduate students on applied AI forecasting projects.
Quantitative Strategist
The Mathought Consulting Group
06.2017 - 08.2018
- Researched on statistical and Machine Learning Models for hedge funds, stocks, FOREX and commodities investors, with Python, Spark.
- Solved a data-driven challenge for a specific private equity, provided strategies and developed their high frequency trading performance.
Investment Banking Analyst
NMS Capital
08.2016 - 06.2017
- Raised money for public companies, reviewed their pitch decks, made the peer group analysis, wrote intake forms and teasers.
- Prepared the adequacy of documents for a $5 billion merger.
- Monitored multiple databases of US public companies, VC, PE in SQL and MS Excel.
Research Assistant
The National Institute of Standards and Technology
09.2014 - 05.2016
- Independently researched about capturing an entire spectrum (i.e., probability distribution) by the millions of measurements of single-photon energy with unknown noises.
- Used many statistical approaches involving EM, Monte Carlo Algorithm, Weighted Regression and Variational Bayes, to simulate in Python, Matlab and R.
Summer Instructor
University of Colorado at Boulder
05.2014 - 09.2014
- Taught Precalculus, Math 1150 for Business School.
Financial Analyst Intern
Sincere Finance Holding Limited
01.2010 - 02.2010
- Researched and simulated stochastic models to forecast gold price.
Education
M.A. - Mathematics
University of Colorado At Boulder
2016
Applied Statistics (Visiting Student)
University of California Los Angeles
2016
Bachelor of Science - Applied Mathematics
Fuzhou University
2013
Skills
- Proficiency in Python, SQL, R
- Excel in Statistical Analysis
- Modeling Experience
- Banking Experience
- Pure Math Background
- Results-oriented
PUBLICATIONS & TALKS
“Precaution Strategy of Talent Drain Based on Fisher Criterion”, published on (ISSN 1005-6432), as the first author.
“Multiplicity of Solution for SFDEs with Infinite Delay”, International Conference on Theory, Methods and Applications of Nonlinear Equations.
“Existence and Uniqueness of Solutions of Linear Sparse Matrix Equations via a Fixed Point Theorem”, AMS Fall Western Sectional Meeting 2015.
"Moment Exponential Stability of Stochastic Functional Differential Equations", Slow Pitch Seminar, University of Colorado at Boulder.
SKILLS
R, Python, SQL, Matlab, C++, Excel, Apache Spark, Tableau
Teaching Experience
- At CU Boulder
Fall 2013: Finite Mathematics (Math 1071), Teaching Assistant
Spring 2014: College Algebra (Math 1011), Section Instructor
Summer 2014: Precalculus Mathematics (Math 1150), Instructor
Fall 2014: Advanced Analysis II (Math 5001), Teaching Assistant
Fall 2015: Markov processes, Queues and Monte Carlo simulation (APPM 5560), Teaching Assistant
- At Columbia University
Fall 2018 to Current: Applied Analytics Frameworks and Methods I (PS5200), Associate Lecturer
Fall 2019 to Current: Applied Analytics Frameworks and Methods II (PS5205), Associate Lecturer
Fall 2023: Solving Real World Problems (PS5900), Associate Lecturer
Timeline
Associate Lecturer
Columbia University
08.2018 - Current
Quantitative Strategist
The Mathought Consulting Group
06.2017 - 08.2018
Investment Banking Analyst
NMS Capital
08.2016 - 06.2017
Research Assistant
The National Institute of Standards and Technology
09.2014 - 05.2016
Summer Instructor
University of Colorado at Boulder
05.2014 - 09.2014
Financial Analyst Intern
Sincere Finance Holding Limited
01.2010 - 02.2010
Bachelor of Science - Applied Mathematics
Fuzhou University
M.A. - Mathematics
University of Colorado At Boulder
Applied Statistics (Visiting Student)
University of California Los Angeles
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