### Paper Title Number 1

Your Name, You. (2009). "Paper Title Number 1." *Journal 1*. 1(1).

- B.S. in Github, Github University, 2012
- M.S. in Jekyll, Github University, 2014
- Ph.D in Version Control Theory, Github University, 2018 (expected)

- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git

- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub

- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3

- Skill 3

### Paper Title Number 1

Your Name, You. (2009). "Paper Title Number 1."

*Journal 1*. 1(1).### Paper Title Number 2

Your Name, You. (2010). "Paper Title Number 2."

*Journal 1*. 1(2).### Paper Title Number 3

Your Name, You. (2015). "Paper Title Number 3."

*Journal 1*. 1(3).

### Talk 1 on Relevant Topic in Your Field

Talk at UC San Francisco, Department of Testing, San Francisco, California

### Tutorial 1 on Relevant Topic in Your Field

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA

### Talk 2 on Relevant Topic in Your Field

Talk at London School of Testing, London, UK

### Conference Proceeding talk 3 on Relevant Topic in Your Field

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA

- Currently signed in to 43 different slack teams

- Ph.D. in Electrical Engineering & Computer Science, Massachusetts Institute of Technology.

Ph.D. minor in Mathematics & Statistics.

Computer Science and Artificial Intelligence Laboratory_{PhD-level Subjects in areas spanning Statistical Learning, Machine Intelligence, Computer Systems and Algorithms; as well as Advanced Real Analysis, Geometry and Manifolds, Mathematical Physics, Theoretical Statistics.}

- B.Eng. in Automation: Informatics & Cybernetics, Tsinghua University.
_{Electrical Engineering & Computer Science, Mathematics & Physics, Information, System & Control Sciences, Robotics & Machine Intelligence.}_{Multiple Scholarships.}

- Non-degree Undergraduate Student and M.S., University of Pennsylvania.
_{Physics-based Simulation, Machine Learning Theory, Computer System and Architecture, Mathematical Optimization.}_{Full Scholarships in Research and Teaching.}

- Research Intern,
*Creative Intelligence Laboratory*,*Adobe Research*. - Research Intern,
*Visual Computing Group*,*Microsoft Research*. - Visiting Research Fellow,
*Institute for Pure and Applied Mathematics*, Los Angeles. - Research Assistant,
*Tsinghua National Laboratory for Information Science and Technology (TNList)*.

Math Comp Phys | SML Stat Prob Opt | CS EE |
---|---|---|

Advanced Calculus I,II,III | Machine Learning | Programming Methodology |

Advanced Algebra I,II | Pattern Recognition | Programming Language |

Real and Complex Analysis | Computational Learning Theory | Discrete Mathematics |

Ordinary Differential Equations | Statistical Learning Theory | Automata and Languages |

Partial Differential Equations | Algorithmic Learning Theory | Data Structure and Algorithm |

Differential Geometry | Information Theoretic Learning | Algorithm Design and Analysis |

Measure Theory and Integration | Artificial Intelligence | Theory of Computation |

Functional Analysis | Integrated Robotics Intelligence | Advanced Algorithms |

Differential Analysis | Advances in Computer Vision | Computer Principles |

Numerical Analysis and Algorithm | Science of Deep Learning | Operating System |

Numerical Methods for PDE | Optimization Algorithms | Computer Networks |

Computational Optimal Transport | Modern Convex Optimization | Computer Architecture |

Theoretical Foundations of Physics | Nonlinear Optimization | Software System |

Quantum and Statistical Physics | Operations Research | Distributed System |

Electromagnetic Theory | Stochastic Process Analysis | Advanced Computer Graphics |

Theory of Optics | Advanced Stochastic Process | Physically Based Animation |

Mathematical Physics | Mathematical Statistics | Digital Image Processing |

Computational Physics | Statistical Inference | Signals and System Analysis |

Experimental Physics | Theoretical Statistics | Statistical Signal Processing |

Principles of Physical Science | Statistical Computing | Theory and Analysis of Circuits |

Principles of Chemical Science | Dynamic Programming | Digital and Analog Electronics |

Principles of Biological Science | Probabilistic Graphical Models | Programmable Logic Systems |

Abstract Algebra | Advanced Natural Language Processing | Projects in Circuit Design |

Differential Manifold and Topology | Deep Reinforcement Learning | Microelectronics and Device |

Mathematics of Modern Physics | High-dimensional Statistics | Modern Control Theory |

Probability Theory | Bayesian Modeling and Computing | Optimal and Nonlinear Control |

(Math, Comp, Opt, Stat, Prob, CS, EE, Phys, Eng)

- Math
- Advanced Calculus I,II,III
- Advanced Algebra I,II
- Real and Complex Analysis
- Ordinary Differential Equations
- Partial Differential Equations
- Differential Geometry
- Measure Theory and Integration
- Functional Analysis
- Differential Analysis

- Comp
- Numerical Analysis and Algorithm
- Numerical Methods for PDE
- Computational Optimal Transport

- Opt
- Optimization Algorithms
- Modern Convex Optimization
- Nonlinear Optimization
- Operations Research

- Stat & Prob
- Probability Theory
- Stochastic Process Analysis
- Mathematical Statistics
- Statistical Inference
- Theoretical Statistics
- Computational Statistics

- SML
- Machine Learning
- Pattern Recognition
- Computational Learning Theory
- Statistical Learning Theory
- Algorithmic Learning Theory
- Information and Inference

- AI
- Artificial Intelligence
- Integrated Robotics Intelligence
- Advances in Computer Vision
- Science of Deep Learning

- CS
- Programming Methodology
- Programming Language
- Discrete Mathematics
- Automata and Languages
- Data Structure and Algorithm
- Algorithm Design and Analysis
- Theory of Computation
- Advanced Algorithms
- Computer Principles
- Operating System
- Computer Networks
- Computer Architecture
- Software System
- Distributed System
- Advanced Computer Graphics
- Physically Based Animation
- Digital Image Processing

- EE
- Modern Control Theory
- Optimal and Nonlinear Control
- Dynamic Programming
- Signals and System Analysis
- Statistical Signal Processing

- EE
- Theory and Analysis of Circuits
- Digital and Analog Electronics
- Programmable Logic Systems
- Microelectronics and Device
- Projects in Circuit Design

- Phys
- Theoretical Foundations of Physics
- Quantum and Statistical Physics
- Electromagnetic Theory
- Theory of Optics
- Mathematical Physics
- Computational Physics
- Experimental Physics

- Other
- Principles of Physical Science
- Principles of Chemical Science
- Principles of Biological Science
- Introduction to Architecture
- International Politics
- Introduction to Modern History

- Abstract Algebra
- Differential Manifold and Topology
- Mathematics of Modern Physics
- Advanced Stochastic Process
- High-dimensional Statistics
- Information Theory
- Probabilistic Graphical Models
- Advanced Natural Language Processing
- Deep Reinforcement Learning

Math, Comp, Opt, Stat, Prob | CS, EE, Phys, Eng |
---|---|

Advanced Calculus I,II,III | Machine Learning |

Advanced Algebra I,II | Pattern Recognition |

Real and Complex Analysis | Computational Learning Theory |

Ordinary Differential Equations | Statistical Learning Theory |

Partial Differential Equations | Algorithmic Learning Theory |

Differential Geometry | Information and Inference |

Measure Theory and Integration | Artificial Intelligence |

Functional Analysis | Integrated Robotics Intelligence |

Differential Analysis | Advances in Computer Vision |

Numerical Analysis and Algorithm | Science of Deep Learning |

Numerical Methods for PDE | Programming Methodology |

Computational Optimal Transport | Programming Language |

Optimization Algorithms | Discrete Mathematics |

Modern Convex Optimization | Automata and Languages |

Nonlinear Optimization | Data Structure and Algorithm |

Operations Research | Algorithm Design and Analysis |

Probability Theory | Theory of Computation |

Stochastic Process Analysis | Advanced Algorithms |

Mathematical Statistics | Computer Principles |

Statistical Inference | Operating System |

Theoretical Statistics | Computer Networks |

Computational Statistics | Computer Architecture |

Theoretical Foundations of Physics | Software System |

Quantum and Statistical Physics | Distributed System |

Electromagnetic Theory | Advanced Computer Graphics |

Theory of Optics | Physically Based Animation |

Mathematical Physics | Digital Image Processing |

Computational Physics | Modern Control Theory |

Experimental Physics | Optimal and Nonlinear Control |

Principles of Physical Science | Dynamic Programming |

Principles of Chemical Science | Signals and System Analysis |

Principles of Biological Science | Statistical Signal Processing |

Introduction to Architecture | Theory and Analysis of Circuits |

International Politics | Digital and Analog Electronics |

Introduction to Modern History | Programmable Logic Systems |

Microelectronics and Device | |

Projects in Circuit Design |

### Tsinghua University Optimization Algorithms Partial Differential Equation Numerical Analysis & Algorithm Advanced and Complex Analysis Probability & Statistics Stochastic Process Analysis Artificial Intelligence Pattern Recognition Robotics & Machine Vision Data Structure & Algorithms Programming Methodology Computer Principles Operating System Computer Networks Computer Graphics & Animation Digital Image Processing Advanced Computer Graphics Classical and Modern Physics Mathematical Physics Signals & System Analysis Control & System Theory Circuits & Electronics Operations Research ### University of Pennsylvania Machine Learning Computer Architecture Theory of Computation Software System Computational Learning Theory Algorithms for Big Data Special Topics in Computer Graphics Modern Convex Optimization Applications of Scientific Computation (Instructor) Physically Based Animation (TA) (Advanced Topics in Algorithms) (Seminars on Robotics and Perception) ### Massachusetts Institute of Technology Advanced Algorithms Information & Inference Advances in Computer Vision Distributed System (Numerical Methods for PDE) (Differential Geometry & Manifolds) (Graphical Models) (Topics in Theoretical Computer Science)