Taiwan

          

Chi-Jung Chung (鍾其融)

Hello, I‘m Ryan Chung, an optimistic and humble person with a strong interest in exploring diverse knowledge areas. I have experience in organizing activities with leadership and communication skills. As a graduate student, I efficiently managed laboratory servers and contributed to various research projects. Currently, I am engaged in research and development of innovative data analysis tools and algorithms in collaboration with professors from NCKU and UChicago.

Phone:  +886 958551270           Email:  [email protected]

Eduction

M.S. and B.S. at National Cheng Kung University (NCKU)

Master’s degree ( 2021 - 2023 ) GPA 4

Electrical Engineering, Control Group

Bioinformatics, Big Data Analysis, Full Stack Web Development, Deep Learning

Bachelor’s degree ( 2015 - 2020 )

Electrical Engineering

SW/HW design, RF design, Embedded design, Web design

Work Experience

NCKU, EE, Computational Systems Biology Lab  

Server Administrator  ( 2022 - Present )

  • Manage and maintain Linux servers and websites in the laboratory, ensuring their smooth operation and effectively preventing multiple mining and malicious attacks. Skilled at problem-solving and enhancing network security.
  • Set up a NAS in the laboratory, actively organized and planned backup mechanisms for research achievements over the years. Proactive in anticipating job responsibilities and improving work objectives.
  • Educate new members in basic Linux operations and website development techniques, sharing knowledge and experience with people.

Project Experience

Full Stack Web Development

  • Developed multiple web projects, including a club management platform, a city guide platform and several data analysis tool websites. Collaborated with students from different departments.
  • Proficient in frontend and backend development using frameworks such as Docker, Node.js, Django, and React.
  • Experienced in working with various databases, including MongoDB, MySQL, and PostgreSQL.
  • Contributed to an industry-academia collaboration project during the master's program, assisting in planning the internal website infrastructure, implementing load balancing using Apache and Nginx, and configuring DNS and Mail servers.

Data Analysis and Deep Learning

  • Developed analysis modules with Python libraries for big-data analysis and visualization.
  • Participation in various deep learning projects, such as medical image recognition using OpenCV and some research on NLP techniques.
  • Experience using TensorFlow and PyTorch frameworks.

Embedded and Hardware Implementation

  • Developed a smart dumbbell using Arduino and a nine-axis sensor with the department of Industrial Design and presented a paper at CONMEDIA 2019.
  • Conducted research on buck converters and resonant circuits for wireless power transfer, simulating and implementing circuits and coils using tools like HSPICE and HFSS.
  • Experience in both software and hardware development and implementation.

Academic Achievements

Master's Thesis

  • A Database-Embedded sRNA-seq Analysis Platform with Bioinformatics Pipeline. (Written in 2023 now)

Collaborative Papers

  • Identification of functional small RNA targeting sites at single nucleotide resolution. (Under review in 2023)
  • Transcriptome-wide analysis of piRNA binding sites suggest distinct mechanisms regulate piRNA binding and silencing in C. elegans. (Published in RNA Journal, March 2023)
  • Enhancing Quality of Life based on Physical Activity for Indonesian Elderly: A Preliminary Study for Design Recommendation. (Published in IEEE International Conference on New Media Studies, 2019)

Extracurricular Activities

  • Actively participated in online seminars organized by companies such as Google, AWS, and Nvidia.
  • Served as a core member of Google Developer Student Clubs (GDSC), responsible for studying and promoting natural language processing (NLP) techniques.
  • Served as a core member of NCKU Mountaineering Club, responsible for reviewing team safety and participating in search and rescue missions. Hosted large-scale events involving dozens of participants. Additionally, served as a guest lecturer for Executive Master of Business Administration (EMBA) programs.

Skills

  • Full Stack Software Development
  • C / C++ / Python / Bash 
  • Linux / Git
  • Data Analysis
  • Deep Learning

Language

  • Chinese
  • English

Autobiography

    Hello, I am Ryan Chung from Tainan. I graduated from the National Cheng Kung University (NCKU) with a degree in Electrical Engineering. Currently, I am studying in the Control Group of the EE Department, with a main research focus on data science, big data, and biological gene analysis. I have also taken courses on related subjects, such as data structures and algorithms, machine learning and deep learning, web design, and information security.

Learning and Research Abilities

    During my undergraduate studies, I developed a passion for programming languages. In addition to basic languages such as C, C++, Java, and Python, I also studied courses on assembly language, data structure and algorithms, software engineering, and web design. I proactively explored different fields of technology and joined various laboratories to work on projects, learning about analog IC design and wireless transmission circuit design.

    During my master's studies, I started to immerse myself in the field of bioinformatics. I proactively learned about biology and related software applications and took courses on data mining and artificial intelligence. I was appointed as the laboratory server administrator and responsible for training new students, and actively learned about network security technology. Combining all of the above, I have a strong ability to self-learn and a proactive attitude towards seeking knowledge. I am capable of quickly grasping new knowledge in the rapidly evolving technology industry, while effectively planning progress and pushing forward multiple research projects and assigning tasks.

Team Collaboration Abilities

    During my undergraduate studies, I often served as the core leader in clubs and activities, leading large-scale events involving dozens of people. I have experience coordinating different levels of organization and integrating team opinions. During my master's studies, I participated in many projects and discussions with senior and junior classmates, my professor, and overseas collaborators. I can quickly integrate different opinions, engage in rational discussions, and propose feasible solutions and ideas.

    In addition, I have participated in industry-academic cooperation projects and can adapt to the intensive product development pace, plan progress, and complete tasks on time. Combining all of the above, I can maintain a positive and effective communication atmosphere, regardless of peer interactions or superior-subordinate relationships. Even with multiple roles to juggle, I can maintain smooth team operations.

Passion for Extracurricular Learning

    In addition to research, I actively seek to enhance my skills and knowledge. Apart from taking online courses at NTU and NCTU to learn the theory of algorithms and deep learning, I also enrolled in online courses or seminars on cloud services such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform to improve my soft skills. Moreover, I participated in the Google Developer Student Club (GDSC) as a core member, where I studied and promoted natural language processing technologies, and joined the NCKU Blockchain Research Club to learn about the application of blockchain and encryption technologies. In summary, I possess the necessary drive to venture into various fields, make the most of my spare time to enhance my abilities, learn new things, and share my knowledge with others.

Research and Projects

    My current research focuses on developing a web-based tool that can handle, analyze, and compare gene sequencing data while incorporating existing literature analysis results. This tool aims to meet the needs of biologists by combining their requirements with existing data analysis tools. I am collaborating with the biology laboratory at the University of Chicago and using data mining and big data analysis to address the limitations of existing software and establish a database that biologists can use to compare experimental results. The research is currently in the final stage.

    I have two main projects from my undergraduate studies. The first project involves designing a resonant circuit for wireless power transmission, starting with fundamental mathematical formulas, and discussing the impact of coil distance and geometry on near-field energy transfer. In addition to using Matlab and simulation software for analysis, I also implemented the circuit and measured the results. This project tested my ability to integrate theory with practice. The second project involves developing a smart dumbbell using Arduino and a 9-axis sensor to assist elderly people in exercising to prevent muscle atrophy. I collaborated with the Industrial Design Department to produce the product. We published a paper on the topic at the IEEE CONMEDIA Conference 2019, and it represents the integration of mechanical and electrical engineering into daily life.

Goals and Aspirations

    As a graduating student, I aspire to enter the workforce immediately and embrace challenges and learning knowledge across various domains. I envision myself joining a reputable company where I can learn cross-field knowledge and continuously enhance my expertise in relevant technologies, and growing together with the company to become an expert. 

    Lastly, I possess a solid foundation in software skills and a background in electrical engineering. I have the confidence to venture into different domains, along with excellent learning abilities, adaptability, work focus, and experience in collaborative teamwork. I believe that with proper training, I will be able to excel in any job role and objective.

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