Metadata
Title
Ph.D. Training
Category
graduate
UUID
f10c65ba0c324dfa9e57003d910e73cc
Source URL
https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering/p...
Parent URL
https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering
Crawl Time
2026-03-23T11:45:18+00:00
Rendered Raw Markdown
# Ph.D. Training

**Source**: https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering/phd
**Parent**: https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering

Our department offers Ph.D. training through the ECE Ph.D. program which offers the necessary curriculum to address challenging problems relevant to financial engineering applications.\
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### Related Links

### On this Page

## Research Areas

### Fundamental areas:

- Stochastic analysis: foundations and new directions
- Stochastic partial differential equations
- Optimization, optimal transport, and stochastic control
- Differential games, large population dynamic systems, and mean-field limit
- Risk analysis and uncertainty quantification
- Computational methods for complex systems
- Theoretical foundation of machine learning
- Information Geometry

### Application areas:

- Market microstructure and high-frequency trading
- Risk management and robust hedging
- Financial stability and systemic risk
- Energy markets: risk management and mechanism design
- Sustainability, green finance, and climate risks
- Digital finance and blockchains
- Market interactions, regulation, and optimal incentive
- Machine learning and generative models
- Monte Carlo simulation and digital twins\
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## Selected courses offered for doctoral training

The FRE department contributes to the ECE Ph.D. program with the following courses:

- FRE-GY 6233, Option pricing and stochastic calculus, by N.Touzi
- FRE-GY 7821/ECE-GY 9211, Stochastic control and finance, by N. Touzi
- FRE-GY 9733, Dynamic optimization under strategic interactions, by X. Zhang
- FRE-GY9053: Information Geometry and Its Applications in Machine Learning and Beyond, by A. Aboussalah

### Relevant Courses from ECE:

- ECE-GY 6063, Information theory
- ECE-GY 6113, Digital signal processing I
- ECE-GY 6143, Machine learning
- ECE-GY 6243, System theory and feedback control
- ECE-GY 6263, Game theory
- ECE-GY 6303, Probability theory and stochastic processes
- ECE-GY 6363, Data center and cloud computing
- ECE-GY 6623, Smart grids: control, economics, planning and regulation
- ECE-GY 7123, Deep learning
- ECE-GY 7143, Advanced machine learning
- ECE-GY 8223, Applied nonlinear control
- ECE-GY 9123, Selected topics in signal processing

Ph.D. students are eligible to register for courses offered by other departments within the University. For instance, you may consider the following courses from the Courant Institute.

- MATH-GA 2911, Probability Theory I,II
- MATH-GA 2701, Methods of Applied Math
- MATH-GA 2704, Applied stochastic analysis
- MATH-GA 2500, Partial differential equations
- MATH-GA 2931, Advanced topics in probability: random matrix universality
- MATH-GA 2012, Advanced topics in numerical analysis: convex and nonsmooth optimization
- MATH-GA 2830, Advanced topics in applied math: theory of deep learning

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## Seminars and Colloquiums

Together with Columbia University's Department of Industrial Engineering and Operations Research (IEOR), the FRE Department organizes the monthly [Columbia-NYU Financial Engineering Colloquium](https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering/nyu-columbia-financial-engineering-colloquium).

The [Peter Carr Seminar Series](https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering/upcoming-events) is held monthly and aims to bring cutting-edge research from the financial industry to the FRE department. We are also organizing a special seminar series inviting well-established researchers worldwide.

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## Current Ph.D. students

[### Abdessalam Ed-dib](https://engineering.nyu.edu/student/abdessalam-ed-dib)

[### Yinbin Han](https://engineering.nyu.edu/student/yinbin-han)

[### Yuxing Huang](https://engineering.nyu.edu/student/yuxing-huang)

[### Mathieu Lise](https://engineering.nyu.edu/student/mathieu-lise)

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## Current faculties for Ph.D. mentoring

[Amine Aboussalah](https://engineering.nyu.edu/faculty/amine-mohamed-aboussalah)\
*Industry Assistant Professor*

[Agnès Tourin](https://engineering.nyu.edu/faculty/agnes-tourin)\
*Industry Professor*

[Nizar Touzi](https://engineering.nyu.edu/faculty/nizar-touzi)\
*Professor*

[Xin Zhang](https://engineering.nyu.edu/faculty/xin-zhang)\
*Assistant Professor*

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## Apply to the ECE Ph.D. Program

In order to receive training through the FRE Department, you must apply to the ECE Ph.D. Program. Please mention potential FRE Ph.D. mentors in your application and feel free to contact the ECE Department via [email](mailto:Tandon-ECE-Grad-Admissions@nyu.edu).

[ECE Graduate Student Manual](https://drive.google.com/file/d/15VOlzEFqrdgrJrIjyLNxv27X3bZ5J8Tr/view)

[Apply](https://apply.engineering.nyu.edu/apply)