Teng-Jui Lin
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Teng-Jui Lin

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Teng-Jui Lin

Dedicated and detail-oriented Ph.D. student at UC Berkeley interested in the intersection of chemical engineering, bionanotechnology, and data science.

CV | Features | Teaching

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Updated 2025/05/13

Education

University of California, Berkeley | Berkeley, CA, USA

  • Ph.D. student, Chemical and Biomolecular Engineering
  • Certificate in Teaching and Learning in Higher Education (In Progress)

University of Washington | Seattle, WA, USA

  • B.S. in Chemical Engineering: Nanoscience and Molecular Engineering, summa cum laude
  • Minor in Applied Mathematics and Chemistry
  • Focus Area on Bio & Biomedical Materials, Interfaces, and Systems
  • Honors Thesis: Quantifying Microglia Morphological Response to Injury and Treatment Across Species with Unsupervised Machine Learning
  • Industry Capstone: Characterization of Silica-Based Anion Exchange Resin for Acid Mine Drainage

Kinglee High School | Zhengzhou, Henan, China

Research Experience

Graduate Student Researcher

Department of Chemical and Biomolecular Engineering, UC Berkeley, PI: Markita Landry

  • Quantified prevalence and extent of bar graph misuses in 3,000+ biological research articles, featured by Nature and Science with 9,000+ views
  • Analyzed gold nanoparticle corona proteomics dataset for recognition of plant biotic stress markers
  • Elucidating protein effects on the interaction between lipid nanoparticles and liposome membranes
  • Leading an interdisciplinary team to quantify misuse of colors in 16,000+ biological research articles

Undergraduate Research Assistant

Department of Chemical Engineering, University of Washington, PI: Elizabeth Nance

  • Developed 80% more efficient Python application programming interface for morphological analysis and modular integration to immunofluorescent image analysis workflow
  • Quantified microglia morphology in neuroinflammatory rat and ferret oxygen-glucose deprivation models and healthy mouse, rat, ferret, rabbit, and pig models (427,000+ cells) with immunofluorescent image processing and unsupervised machine learning
  • Analyzed number of publications that used immunofluorescent images at 450+ combinations of variables using PubMed web scrapping in Python, 93% more efficient than manual search
  • Tile-scanned murine breast cancer tissue slices using confocal microscope

Summer Undergraduate Research Scholar

NSF Science and Technology Center on Real-Time Functional Imaging (STROBE)
Department of Physics, Florida International University, PI: Jin He

  • Fabricated, functionalized, and surface-modified gold nanorods improving tissue conductivity
  • Characterized gold nanorods using UV-Vis spectroscopy and Raman spectroscopy
  • Measured contractile force of cardiac tissues by analyzing brightfield microscopy video data and processed confocal microscopy images of cardiomyocytes with Python

Honors & Awards

Poster Competition 1st Place | Advanced Imaging Methods Workshop

Annual Dean’s Lists | University of Washington

Library Research Award for Undergraduates | University Libraries, University of Washington

Nominee, Dean’s Medal for Academic Excellence | College of Engineering, University of Washington

Poster Competition 2nd Place | American Institute of Chemical Engineers

Conference Travel Award | Undergraduate Research Program, University of Washington

Future Leader in ChemE | Dept. of Chemical and Biomolecular Engineering, NC State University

Dan Evans Term Scholarships | Dept. of Chemical Engineering, University of Washington

ChemE Hackathon Team 1st Place | Dept. of Chemical Engineering, University of Washington

Mary Gates Research Scholarship | Mary Gates Endowment for Students, University of Washington

ChemE Hackathon Team 3rd Place | Dept. of Chemical Engineering, University of Washington

Discovery Fair 1st Place | Kinglee High School

Peer Tutor Award | Kinglee High School

Science Fair Award 2nd Place | Kinglee High School

Peer Tutor Award | Kinglee High School

Merit Student of Zhengzhou City | Zhengzhou Municipal Education Bureau

Science Fair Award 1st Place | Kinglee High School

Publications

Equal Contribution# | Corresponding Authors*

Preprints

  1. T.-J. Lin, K. Hillman, L. Kim, M. Garg, M. Duong, M.P. Landry*. Quantifying Misuse of Color in Biological Research. bioRxiv (2025). DOI: 10.1101/2025.06.12.659203
  2. E. Voke, M. Arral, H. Squire, T.-J. Lin, R. Coreas, A. Lui, A. Iavarone, R Pinals*, K. Whitehead*, M.P. Landry*. Protein corona formed on lipid nanoparticles compromises delivery efficiency of mRNA cargo. bioRxiv (2025). DOI: 10.1101/2025.01.20.633942
  3. R. Coreas, N. Sridhar, T.-J. Lin, H. Squire, E. Voke, M.P. Landry*. Deep profiling of plant stress biomarkers following bacterial pathogen infection with protein corona based nano-omics. bioRxiv (2024). DOI: 10.1101/2024.12.12.627884
  4. T.-J. Lin, M.P. Landry*. Quantifying data distortion in bar graphs in biological research. bioRxiv (2024). DOI: 10.1101/2024.09.20.609464
    • Featured by Nature: “Bad bar charts are pervasive across biology” (2024). DOI: 10.1038/d41586-024-03996-w
    • Featured by Science: “Bad bar graphs” (2024). Link.
    • Featured by UC Berkeley Neuroscience: How to avoid common data distortions with better bar graphs (2024). Link.

Peer-Reviewed

  1. A. Ashkarran#, H. Gharibi#, S. Sadeghi, S. Modaresi, Q. Wang, T.-J. Lin, G. Yerima, A. Tamadon, M. Sayadi, M. Jafari, Z. Lin, D. Ritz, D. Kakhniashvili, A. Guha, M. Mofrad, L. Sun, M.P. Landry, A. Saei*, M. Mahmoudi*. Small molecule modulation of protein corona for deep plasma proteome profiling. Nature Communications (2024). DOI: 10.1038/s41467-024-53966-z
  2. H. Helmbrecht, T.-J. Lin, S. Janakiraman, K. Decker, E. Nance*. Prevalence and practices of immunofluorescent cell image processing: a systematic review. Frontiers in Cellular Neuroscience (2023). DOI: 10.3389/fncel.2023.1188858.

Presentations

Presenting Author^

Oral Presentations

  1. T.-J. Lin^, M. Landry. Quantifying Data Distortion in Bar Graphs in Biological Research. Hardly Strictly Molecular and Cellular Neuroscience Seminar, Dept. of Neuroscience, UC Berkeley, CA, USA. 2025/05/13.
  2. (Invited Seminar) T.-J. Lin^, M. Landry. Quantifying Data Misrepresentations in Biological Research. Group Meeting, Pun Lab, Dept. of Bioengineering, University of Washington, Seattle, WA, USA. 2025/04/30.
  3. T.-J. Lin^, M. Landry. Quantifying Data Distortion in Bar Graphs in Biological Research. Chemical and Biomolecular Engineering Student Symposium, UC Berkeley, CA, USA. 2025/04/17.
  4. T.-J. Lin^, M. Landry. Effect of Protein on Lipid Mixing of Liposome and Lipid Nanoparticle. Chemical and Biomolecular Engineering Student Symposium, UC Berkeley, CA, USA. 2024/05/09.
  5. T.-J. Lin^, G. Charpentier^, L. Miller^, M. Gokani^, M. Nelson^, B. Rutz, O. Lenz. Characterization of silica-based anion exchange resin for acid mine drainage. Material Science and Engineering & Chemical Engineering Capstone Symposium, University of Washington, Seattle, WA, USA. 2023/06/02.
  6. H. Helmbrecht^, E. Nance, K. Decker, T.-J. Lin, S. Janakiraman, M. Onodera. Analysis of microglia morphology across different Neuroinflammatory rat models. AIChE Annual Meeting, Phoenix, AZ, USA. 2022/11/13. Link.
  7. T.-J. Lin^, H. Helmbrecht, E. Nance. Incorporating Visually Aided Morpho-Phenotyping Image Recognition into robust microglial shape analysis. Undergraduate Research Symposium, University of Washington, Seattle, WA, USA. 2022/05/20. Link.
  8. T.-J. Lin^, H. Helmbrecht, E. Nance. Robust microglial shape analysis using Visually Aided Morpho-Phenotyping Image Recognition. AIChE Pacific Northwest Student Regional Conference, Seattle, WA, USA. 2022/04/23.

Poster Presentations

  1. T.-J. Lin^, M. Landry. Quantifying Data Distortion in Bar Graphs in Biological Research. Chan Zuckerberg Biohub Inter-lab Confab, San Francisco, CA, USA. 2025/05/06.
  2. T.-J. Lin^, M. Landry. Quantifying Data Distortion in Bar Graphs in Biological Research. 1st Annual Bay Area Plant Hub Symposium, San Francisco, CA, USA. 2025/04/16.
  3. T.-J. Lin^, M. Landry. Quantifying Data Distortion in Bar Graphs in Biological Research. 22nd Annual Advanced Imaging Methods Workshop, Berkeley, CA, USA. 2025/01/22. First Place Award.
  4. T.-J. Lin^, M. Landry. Quantifying Data Distortion in Bar Graphs in Biological Research. Chan Zuckerberg Biohub Inter-lab Confab, San Francisco, CA, USA. 2024/10/23.
  5. T.-J. Lin^, M. Landry. Quantifying Data Distortion in Bar Graphs in Biological Research. Chan Zuckerberg Biohub Physics in Life Symposium, San Francisco, CA, USA. 2024/09/25.
  6. T.-J. Lin^, M. Landry. Quantifying Data Distortion in Bar Graphs in Biological Research. Molecular Therapeutics Division Retreat, University of California, Berkeley, CA, USA. 2024/09/24.
  7. T.-J. Lin^, G. Charpentier^, L. Miller^, M. Gokani^, M. Nelson^, B. Rutz, O. Lenz. Characterization of silica-based anion exchange resin for acid mine drainage. Material Science and Engineering & Chemical Engineering Capstone Symposium, University of Washington, Seattle, WA, USA. 2023/06/02. Highlighted by UW ChemE News.
  8. T.-J. Lin^, H. Helmbrecht, R. Jin, T. Wood, E. Nance. Assessing separate and combinatorial treatments in neuroinflammatory preterm ferret model by quantifying microglia and oligodendrocyte morphology. Undergraduate Research Symposium, University of Washington, Seattle, WA, USA. 2023/05/19. Link.
  9. T.-J. Lin^, H. Helmbrecht, R. Jin, T. Wood, E. Nance. Assessing separate and combinatorial treatments in neuroinflammatory preterm ferret model by quantifying microglia and oligodendrocyte morphology. AIChE Pacific Northwest Student Regional Conference, Corvallis, OR, USA. 2023/04/15.
  10. T.-J. Lin^, H. Helmbrecht, E. Nance. Quantifying microglia morphology across neuroinflammatory rat models with unsupervised machine learning. Southern California Conference for Undergraduate Research, Malibu, CA, USA. 2022/11/19. Conference Travel Award.
  11. T.-J. Lin^, H. Helmbrecht, E. Nance. Quantifying microglia morphology across neuroinflammatory rat models with unsupervised machine learning. AIChE Annual Student Conference, Phoenix, AZ, USA. 2022/11/13. Second Place Award. Link.
  12. T.-J. Lin^, H. Helmbrecht, E. Nance. Quantifying microglia morphology across neuroinflammatory rat models with unsupervised machine learning. Future Leaders in Chemical Engineering Award Symposium, North Carolina State University, Raleigh, NC, USA. 2022/10/24. Invited Award Symposium. Link.
  13. T.-J. Lin^, A. Rubfiaro, G. Ghimire, J. He. Fabrication and characterization of functionalized gold nanorods for improving engineered cardiac tissue maturation. Center for Diversity and Student Success Summer Research Symposium, Florida International University, Miami, FL, USA. 2022/07/29.

Lightning Talks (≤ 3 min)

  1. T.-J. Lin^, M. Landry. Quantifying Data Distortion in Bar Graphs in Biological Research. Chan Zuckerberg Biohub Inter-lab Confab, San Francisco, CA, USA. 2025/05/06.
  2. T.-J. Lin^, H. Helmbrecht, E. Nance. Quantifying microglia morphology across neuroinflammatory rat models with unsupervised machine learning. Future Leaders in Chemical Engineering Award Symposium, North Carolina State University, Raleigh, NC, USA. 2022/10/24. Invited Award Symposium. Link.

Mass Media Appearances

Other online features can be found here.

  1. (Insights letter) A. Heim, T. Bharani, N. Konstantinides, J. Powell, S. Srivastava, X. Cao, D. Agarwal, K. Waiho, T.-J. Lin, E. Virgüez, W. Strielkowski, A. Uzonyi. AI in search of human help. Science. 381, 162-163 (2023). DOI: 10.1126/science.adi8740
  2. (Insights letter) R. Tang, T. Bharani, J. Ding, K. Li, J. Wen, S. D. Gopinath, T.-J. Lin, J. X. J. Luo, Q. Wen, K. Davis, N. van Rhijn, Name withheld, S. M. Anderson, R. J. Patel, S. Sarnala, F. S. Oda, G. Singh, N. R. Kothapalli, N. Scott, J. R. Powell, S. N. Kirshner. When internships disappoint. Science. 378, 22-24 (2022). DOI: 10.1126/science.ade6397.

Teaching Experience

Student testimonials can be found here.

Open-Source Chemical Engineering Education (Link)

  • Equation sheets of >20 courses in chemical engineering, applied mathematics, physics, and chemistry.
  • Scientific computing workbook of 2 courses in chemical engineering and applied mathematics
  • Course notes of 15 courses in chemical engineering, applied mathematics, physics, and chemistry
  • Instructional videos (YouTube, Bilibili) with accompanying slides in chemical engineering numerical methods, process dynamics and control, process design, and surface and colloid science with >40 videos at >22,400 total views and >1,100 stars & likes
  • Followed by people around the globe (30 countries) ranging from high school students to professors

Graduate Student Instructor,
CHM ENG 130: Mathematics and Statistics in Chemical Engineering

Department of Chemical and Biomolecular Engineering, UC Berkeley, Instructor: Aditi Krishnapriyan, Rui Wang

  • Independently designed and instructed 2 computational lab sections/week for 13 different labs for >100 students
  • Formulated problems in 3 exams and 13 labs, responded student questions online

Graduate Student Instructor,
CHM ENG 130: Mathematics and Statistics in Chemical Engineering

Department of Chemical and Biomolecular Engineering, UC Berkeley, Instructor: Aditi Krishnapriyan

  • Co-instructed 1 computational lab section/week for 13 different labs for >50 students
  • Formulated problems in 3 exams and 4 homework, responded student questions online

Teaching Assistant, CHEM E 455: Surface and Colloid Science Laboratory

Department of Chemical Engineering, University of Washington, Instructor: John Berg

  • Instructed 3 sections/week for 8 different labs and graded 20 lab reports and 30 final presentations
  • Instructed usage of densitometer, microplate reader, BET surface area analyzer, inverted microscope, and conductivity meter

Teaching Assistant, Advanced Placement (AP) Calculus AB

Kinglee High School, Instructor: Ben Trey

  • Lectured 4 hours/week to 5 students in alignment with CollegeBoard-certified AP Calculus AB curriculum with interactive classroom activities to clarify complex concepts and common confusions
  • Designed and graded bidaily concept checks, homework, and quizzes with tight deadlines under supervision

Student Mentoring

Graduate Rotation Students

  1. Mina Oh, Chemical Biology

Undergraduate Students

^ Co-mentored student

  1. Zirun Liang^, Chemical Engineering
  2. Jamie Lynn Thu Phan^, Molecular and Cellular Biology
  3. Laura Kim, Data Science
  4. Miles Duong, Chemical Engineering

High School Students

  1. Mihika Garg

Professional Experience

Member, Industry Capstone Project Team

Department of Chemical Engineering, University of Washington
Membrion, Inc.

  • Characterized and compared adsorption performance of anion exchange resins with a competitor by designing equilibrium experiments at standard conditions and after exposure to oxidizers and foulants
  • Analyzed and visualized concentration-time profiles, adsorption isotherms, and effect of oxidizers and foulants on adsorption of ceramic ion exchange resins with Python

Leadership and Service

Professional Service at UC Berkeley

  1. CBE Graduate Student Symposium, Co-organizer
  2. CBE Faculty Search Committee, Graduate Representative
  3. CBE Faculty Search Committee, Graduate Representative

Community Service at UC Berkeley

  1. CBE Graduate Student Advisory Committee, Undergradate Liason
  2. CBE Graduate Students Mentoring Undergraduates Program, Mentor
  3. Disabled Students’ Program, Note Taker

All Service at University of Washington

  1. ChemE Peer Mentor Program, Peer Mentor
  2. ChemE Faculty Search Committee, Undergraduate Representative
  3. UW Undergraduate Research Program, Undergraduate Research Leader
  4. AIChE, Webmaster
  5. Women in Chemical Engineering, Secretary
  6. Chinese Students and Scholars Association, Research and Development Officer
  7. Housing and Food Services, Maple Hall Council, Sustainability Representative

All Service at Kinglee High School

  1. Peer Tutor Program, Peer Tutor
  2. Student Council, Secretary
  3. Student Council, Historian
  4. Laboratory Practices Training Program, Peer Mentor

References

Markita Landry | landry@berkeley.edu | Research, Leadership

Department of Chemical and Biomolecular Engineering, UC Berkeley

Associate Professor

Elizabeth Nance | eanance@uw.edu | Research, Leadership, Academics

Department of Chemical Engineering, University of Washington

Jagjeet and Janice Bindra Endowed Career Development Associate Professor

ChemE Associate Chair for Undergraduate Studies

Jim Pfaendtner | wjpfaend@ncsu.edu | Leadership, Academics

Department of Chemical and Biomolecular Engineering, North Carolina State University

Professor

Louis Martin-Vega Dean of Engineering

Aditi Krishnapriyan | aditik1@berkeley.edu | Teaching, Leadership

Department of Chemical and Biomolecular Engineering, UC Berkeley

Bruce & Susan Stangeland Assistant Professor

John Berg | spc@uw.edu | Teaching, Academics

Department of Chemical Engineering, University of Washington

Rehnberg Chair Professor

Alex Prybutok | prybutok@uw.edu | Academics, Research

Department of Chemical Engineering, University of Washington

Assistant Teaching Professor