Erfan Yang

yangerfan1@gmail.com · https://erfanyang.github.io

Personal Statement

Detail-orientated and enthusiastic undergraduate with recent experience in optics and cold atoms labs. Considerable multi-disciplinary experience across cold atoms, nonlinear optics, basic electrical engineering, and Artificial Intelligence. Capable of conducting effective independent research by designing fundamental experiments from scratch, coupled with organized knowledge management and progress record. Keen to further expand my portfolio in the field of quantum optics, especially in cold atoms through doctorate-level research opportunities.

Experience

Research Apprentice Xi’an Jiaotong University, Advisor: Prof. Hong Gao Sept 2023-Present

• Assisted in producing cold Rb atoms in the magneto-optical trap by four-wave mixing and exploring new methods of quantum memory

Research Apprentice UC Berkeley, Advisor: Prof. Eric Y. Ma Oct 2022-June 2023

• Looked into nonlinear optical effects in phthalocyanine thin films theoretically and experimentally and learned how to design and complete an experiment from scratch independently

Team Member Fall 2021

• Assisted in the realization of low melting point metal near the melting point of the thermal conductivity measurement device

Team Leader July 2022

• Led a team in a competition focused on an underwater imaging system based on polarization fusion and the Yolo algorithm

«««< HEAD Research Apprentice Xi’an Jiaotong University, Advisor: Prof. Nanning ZhengSpring 2022

• Looked into both physics for AI and AI for physics theoretically and investigated the principles and applications Physics-informed neural networks

  Research Apprentice Xi’an Jiaotong University, Advisor: Prof. Nanning Zheng Spring 2022

• Looked into both physics for AI and AI for physics theoretically and investigated the principles and applications of Physics-informed neural networks

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Skills

Experimental:

• Familiar with operating optical components, constructing optical paths, and using related instruments.

Computational:

• Familiar with Python, Matlab, Mathematica, and basic machine learning. Experienced with PyVISA and completed a final project about evaluating the signal significance and measuring the signal strength of a given process

Communication:

• Confidence and effective communication skills developed through:
  • regular meetings with mentors and writing progress monitoring notes and summary documents
  • presentations on final projects of some courses during my degree to audiences of up to 100 people

Team Collaboration:

• Worked in groups during my degree and volunteering. Comfortable with adapting to the needs of various team sizes. Demonstrated collaborative generating new ideas and problem-solving.

Education

Xi’an Jiaotong University , Xi’an, China, 2020 – Present

• Bachelor of Physics. Expected Graduation: June 2024

• Core courses: Photoelectronics, Analytical Mechanics, Electrodynamics, Differential equations

University of California, Berkeley, Berkeley, CA, USA Fall 2022, Spring 2023

• Exchange student of the Berkeley Physics International Education (BPIE) program

• Core courses: Computational Physics, Statistical Physics, Solid State Physics, Relativity, Quantum Mechanics

Peking University, remote Summer 2022

• Physics summer school student

• Core courses: Frontiers of Theoretical Physics

Honors

The Youth Honor Program 2018-Present

The Talent Student Training Program in Physics 2020-Present

National Optoelectronic Design Competition, Second prize in the Northwest section July 2022

National Physical Experimental Competition, The National Third Prize 2021