Summary
Overview
Work History
Education
Skills
Accomplishments
Publications
Timeline
Generic

Sophia Lin

Summary

Machine learning professional with robust experience in developing and implementing data-driven models. Skilled in Python, R, TensorFlow, and data analysis, with strong focus on collaboration and delivering impactful results. Known for adaptability and reliability, excelling in dynamic team environments.

Diligent [Desired Position] with solid foundation in machine learning and hands-on experience from recent internship. Contributed to developing predictive models and optimizing algorithms, showcasing analytical mindset. Demonstrated ability to work collaboratively and solve complex problems using Python and TensorFlow.

Experienced with developing machine learning models and analyzing data sets to derive actionable insights. Utilizes Python and TensorFlow to build and optimize algorithms for various applications. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.

As machine learning professional, bringing thorough understanding of data analysis and model development to table. Contributed to impactful projects, developing and refining models that address real-world problems. Renowned for collaboration and adaptability, with key skills in Python, TensorFlow, and problem-solving.

Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.

Overview

9
9
years of professional experience

Work History

Counselor

Research Summer Institute (RSI)
04.2025 - 08.2025
  • Assisted 2025 RSI Scholars in setting realistic goals, developing action plans, and monitoring their research progresses.
  • Maintained accurate documentation of interactions, assessments, and progress notes for effective management.
  • Improve scholars efficiency through consistent communication, empathy, and understanding of their unique challenges.
  • Contributed to a supportive work environment by sharing knowledge, resources, and new findings.
  • Utilized motivational interviewing techniques to encourage positive change.
  • Conducted assessments to determine progress and performance and report findings to RSI Director.
  • Communicated regularly with other Counselors for coordinated events and schedules.

RSI Scholar

Research Summer Institute (RSI)
06.2024 - 08.2024
  • Selected as one of 100 students worldwide, 63 in the U.S., ~1% domestic acceptance rate
  • Mentored by Prof. Bonnie Berger (Head of the computational biology group at MIT CSAIL) and Prof. Emma Pierson (UC Berkeley EECS), Ph.D student at MIT. Collaborated with Computer Science and AI Laboratory (CSAIL), Broad Institute of MIT and Harvard for interdisciplinary research project, resulting in one of RSI’s Top 10 Research Papers selected by committee of scientists/researchers.
  • Worked independently to design, develop and test code. Developed interpretable Bayesian discrimination models of multistage censored clinical paths.
  • Transformed raw data to conform to assumptions of machine learning algorithm.
  • Increased model accuracy by fine-tuning hyperparameters and employing rigorous validation techniques.
  • Utilized parallel computing techniques with Python for efficient handling of large-scale computations on high-performance clusters.
  • Developed advanced graphic visualization concepts to map and simplify analysis of heavily-numeric data and reports.
  • Automated repetitive tasks using scripting languages, increasing efficiency and reducing errors in the development process.
  • Reduced overfitting in ML models by applying regularization techniques and systematically evaluating model complexity.
  • Ran statistical analyses within software to process large datasets.
  • Published Second author paper: “A Bayesian Model for Multi-Stage Censoring”
  • Spotlight Presentation at the 2024 Machine Learning for Health Symposium (ML4H).
  • Expanded professional networks through active participation in academic seminars, events and private meetings with the area of expertise, including Nobel Prize laureates and MIT professors.
  • Commended by Congressman Don Beyer, Virginia Senators Mark Warner and Tim Kaine, and Virginia Governor Glenn Youngkin.

Research Intern

Computer Science and Informatics Summer Research
05.2023 - 12.2023
  • Selected as one of 31 Student Researchers at Stony Brook University.
  • Developed interpretable deep-learning disease-prediction models, which surpasses traditional machine learning heart failure predictions by four-fold on 18 million electronic health records.
  • Conducted thorough literature reviews to stay informed on cutting-edge ML techniques and industry trends, applying new knowledge to improve project.
  • Evaluated the performance of various ML algorithms, achieved higher predictive accuracy with innovative method that combined multiple base models'' predictions.
  • Identified key features contributing to model performance through comprehensive feature importance analysis.
  • Presented research findings and project progress to professors and his Ph.D students, effectively communicating complex concepts to diverse audiences.
  • Compiled, cleaned and manipulated data for proper handling. Streamlined data preprocessing tasks for faster processing times and more efficient model training.
  • Enhanced big EHR data set quality by identifying and addressing inconsistencies, missing values, and outliers in datasets.
  • Improved ML model accuracy by implementing feature engineering techniques and optimizing hyperparameters.
  • Optimized computational resources usage by parallelizing code execution and utilizing cloud-based platforms.
  • Designed detailed documentation for developed models and algorithms, supporting future maintenance efforts and knowledge sharing.
  • Implemented version control practices for code management, ensuring reproducibility and facilitating collaboration among team members.

  • Published First-author paper: “FRISTS: High-performing Interpretable Medical Prediction.” 2024 IEEE International Conference on Big Data Proceeding publication
  • Made oral presentation at the 2024 IEEE International Conference on Big Data Undergraduate and High School Symposium
  • Won National Junior Science and Humanities Symposium (JSHS) Finalist, First Place Poster Presentation and Peer Favorite at the Greater Washington, D.C. Regional JSHS
  • Won Rho Psi Science and Technology Scholarship Second Place Award.

Summer Intern Researcher

Aspiring Scientists Summer Internship Program
06.2023 - 08.2023
  • Full scholarship program; Mentored by GMU Professor.
  • Developed NLP- and GUI-based deep learning search engine for streaming accessibility design and evaluation for Android app developers. Abstract: https://journals.gmu.edu/index.php/jssr/article/view/3933
  • Strengthened analytical skills through involvement in diverse research assignments across multiple subject areas.
  • Demonstrated adaptability by quickly learning new concepts and adjusting to changing project requirements as needed.

Summer Research Intern

Young Innovators Program (YIP)
07.2023 - 07.2023
  • Full scholarship program; joint-launched by MIT and UChicago. Sponsored by Invenergy and the Polsky Foundation; Mentored by Invenergy staff and researchers.
  • Conducted environmental research at UChicago. Pitched social entrepreneurship ventures for transportation and “smart home” start-up to improve energy efficiency and reduce urban heat island effect
  • Collaborated closely with supervisors to ensure that all tasks were completed efficiently according to established guidelines.
  • Contributed to a positive camp atmosphere by building strong relationships with fellow staff members and campers.

Chief Intern Volunteer

Tacy Foundation
06.2016 - Current
  • The first Chief Intern on Tour: initiated and organize performances at three new sites and organizes benefit concerts as master of ceremonies.
  • Received distinguished Leadership Award, Charitable CD Project Award, COVID-19 Virtual Live Music Library Award.
  • Recruited and trained 30+ new volunteers on volunteer program goals and objectives and branched out to 8 new sites.
  • Initiated and organizes group performances bi-weekly for senior residents. Performs one hour weekly at community centers in Maryland and Virginia. Collaborated with other departments to maximize impact of volunteer efforts.
  • Coordinated large-scale events involving multiple teams of volunteers, resulting in successful fundraisers and community outreach initiatives.
  • Established strong relationships with local organizations, fostering collaboration and expanding volunteer opportunities.
  • Managed and tracked volunteer hours and progress to support accurate documentation.
  • Maintained regular communication with volunteers through newsletters, keeping them engaged and informed about upcoming opportunities.
  • Recorded piano performance on CDs that were distributed to patients nationwide; performed at the National Institute of Health and in hospitals for patients and medical staffs.
  • Participated in Tacy Foundation COVID-19 Project: video record 50+ minutes of solo performance online for patients and medical staffs accessing over the country.
  • Fostered positive relationships with team members, facilitating productive communication and collaboration.
  • Aided staff members with important projects as needed, displaying adaptability and commitment to success.

Co-Founder and Co-Captain

TJ Improv
09.2022 - Current
  • Launched extracurricular programs that enriched the student experience outside of the classroom setting. Expanded the club to 30+ members within 6 months, maxed out attendance limitation.
  • Served as a reliable and dependable team leader, consistently supporting fellow crew members as needed.
  • Skilled at working independently and collaboratively in a team environment.
  • Design and lead weekly practices; Write extensive feedback for each performer per scene (~30 people/week, with multiplicity).
  • Host school-wide and county-wide competitive and non-competitive events. Led team to tie first at the team’s first competition.
  • Led annual demonstrations for freshman English classes

Math Instructor

LIVE, by Po-Shen Loh
05.2023 - 01.2025
  • Paid math instructor
  • Taught math for students in six countries through live online courses
  • Designed materials and assignments to bolster students' understanding of tricky mathematical concepts.
  • Prepared high-quality lessons to teach students step-by-step problem-solving methods.

Math Teacher, Volunteer

Hope Chinese School
06.2020 - 05.2024
  • Prepared and implemented lesson plans covering required course topics. Kept classroom environments consistent and focused on learning by establishing and enforcing clear objectives.
  • Provided meaningful math instruction to improve math skills of children. Adapted teaching style to accommodate diverse learning needs, resulting in improved academic performance for all students.
  • Developed effective assessment strategies for measuring student progress in alignment with instructional goals.
  • Established positive relationships with parents through regular communication regarding student progress, fostering a supportive home-school partnership.
  • Served as a mentor teacher for new volunteers, providing guidance and support to help them navigate their first teaching successfully.
  • Organized extracurricular math clubs and competitions to promote enthusiasm for mathematics beyond the classroom setting.

Competition Editor

Threshold Magazine for the Arts and Sciences
09.2024 - Current
  • Created new scientific poetry competition and letter-style senior send-off sections
  • Head the scientific poetry competition and Shadwell prose and poetry competitions; invited distinguished professors to judge student submissions
  • Oversaw the production process, led student volunteers to select pieces and design >25% (~22 pages) of the magazine.
  • Managed multiple projects simultaneously, ensuring timely delivery of high-quality editorial work.
  • Enhanced publication quality by diligently proofreading and editing articles for grammar, spelling, and consistency.
  • Collaborated with writers to improve content structure and clarity, resulting in increased reader engagement.
  • Developed style guides and editorial processes to maintain a consistent voice across all published materials.

Education

Bachelor of Arts - Computer Science, Data Science, Statistics

Harvard University
Cambridge, MA
05-2029

High School Diploma -

Thomas Jefferson High School For Science And Tech
Alexandria, VA
06-2025

Skills

  • NumPy
  • Pandas
  • TensorFlow
  • PyTorch
  • Jupyter Notebooks
  • Scikit-learn
  • R programming
  • Java programming
  • Web Application development
  • Mobil Application development
  • Matlab
  • Data science
  • Neural networks
  • Machine learning
  • Statistical modeling
  • Cloud platforms
  • Deep learning
  • Python programming
  • Machine learning algorithms

Accomplishments

  • 2024 Research Science Institute (RSI) Scholar
  • 2024 IEEE AI Youth Star Award, 2024 IEEE Big Data Conference Oral Presentation
  • 2024 Machine Learning for Health Symposium Spotlight Presentation
  • 2025, 2023 National YoungArts Winner, Top 28 in Classical Music/Piano nationwide
  • 2024 Davidson Fellows Honorable Mention, Top 5 in Music
  • 2024 National Junior Science and Humanities Symposium (JSHS) First Place Regional Poster Presentation Winner and National Finalist
  • United States American Junior Math Olympiad (USAJMO) Qualifier, top 0.1% of students in the nation
  • 4-time AIME Qualifier. Scored 10/15, top 1% of female students nationwide
  • Mathematical Association of America (MAA) awards for top students:

    • • Maryam Mirzakhani Award Winner

    • Two Sigma Certificate Winner

    • D.E. Shaw Group Certificate Winner

  • 2021-2024 MIT Math Prize for Girls 4-time Invitee
  • National Merit Semifinalist; Finalist
  • Rho Psi Science and Technology Scholarship, Second Place Winner
  • Girls Together (G2), full-scholarship invitee for Olympiad math program for the top 33 U.S. girls
  • Rensselaer Medalist, the only student selected by TJHSST faculty committee
  • Non-Trivial Fellowship Finalist
  • USA National Computer Olympiad (USACO) Silver Division
  • 2022 IEEE Best Paper Award, Xplore Global Reliability & Prognostics and Health Management
  • Scholastic Art and Writing Awards, Honorable Mention in Short Story.
  • First Place in the AAPI Heritage Month Essay Contest.
  • MIT Hacking Medicine D.C. Grand Hack Samsung Breakthroughs That Matter Award

Publications

1) Second author of “A Bayesian Model for Multi-Stage Censoring”

  • ·Spotlight Presentation for the 2024 Machine Learning for Healthcare Conference

2) First author of “FRISTS: High-performing Interpretable Medical Prediction”

  • Oral Presentation for the 2024 IEEE International Conference on Big Data Undergraduate and High School Symposium on December 15, 2024
  • Publish in proceeding for 2024 IEEE Big Data conference in December 2024
  • DOI: 10.1109/BigData62323.2024.10826101

3) Co-author of “Hybrid AI Framework for Remote Patient Heart Failure Risk Prediction”

  • Best Paper Award for the 2022 IEEE Xplore Global Reliability & Prognostics and Health Management Conference https://ieeexplore.ieee.org/abstract/document/9941764

Timeline

Counselor

Research Summer Institute (RSI)
04.2025 - 08.2025

Competition Editor

Threshold Magazine for the Arts and Sciences
09.2024 - Current

RSI Scholar

Research Summer Institute (RSI)
06.2024 - 08.2024

Summer Research Intern

Young Innovators Program (YIP)
07.2023 - 07.2023

Summer Intern Researcher

Aspiring Scientists Summer Internship Program
06.2023 - 08.2023

Research Intern

Computer Science and Informatics Summer Research
05.2023 - 12.2023

Math Instructor

LIVE, by Po-Shen Loh
05.2023 - 01.2025

Co-Founder and Co-Captain

TJ Improv
09.2022 - Current

Math Teacher, Volunteer

Hope Chinese School
06.2020 - 05.2024

Chief Intern Volunteer

Tacy Foundation
06.2016 - Current

Bachelor of Arts - Computer Science, Data Science, Statistics

Harvard University

High School Diploma -

Thomas Jefferson High School For Science And Tech

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