Composed bi-weekly deeply-focused academic posts about natural sciences like Psychology, Astrology, and Biology for high school students to provoke their passion and curiosity about Science
Organized a workshop on 'Scientific Prism' which focused on students with passion in Science and helped them explore the world through our self-designed experiments and science tricks, attracting 60 participants.
Member of Math department
2School Guideline
09.2022 - Current
Composed posts for a Facebook group to help 9th graders gain a better understanding of the 10th grade entrance exam, which attracted 200 active participants
Organized the 'Sao Bac Dau' workshop where Guest Speakers shared their experience on the entrance exams of the three gifted high schools in Ho Chi Minh City, resulting in 150 participants
Composed a 20-minute speech analyzing High School for the Gifted entrance exam and providing specialized documents for listeners
Interacted and answered questions from the participants, including teachers and students who are interested in specializing in Mathematics, resulted in 5 star feedback by Google Form after the workshop.
Member of Math department
The Gifted Battlefield
09.2022 - Current
Designed and composed two PDF online documents, including exercises and tips, on Geometry, Algebra, Inequalities and Combinatorics to help students prepare for the National Competition
Organized mock tests for students who want to take the 10th grade exam to major in Mathematics, the Vietnamese Mathematical Olympiad, and the Team Selection Tests (for students who want to join the school's team to compete in national and international competitions.
Head of Tutoring Department
The Loving Heart
06.2022 - Current
Organized a one-on-one weekly tutoring campaign for 16 children from grades 6 to 12 at Ba Chieu orphanage
Recruited and trained 17 volunteers tutoring the children throughout the school year
Raised 3,000,000 VND by selling homemade biscuits and bracelets
Organized the Mid-Autumn Festival and Christmas Party for 18 children at the orphanage
Taught two students in 9th and 10th grade in Mathematics and Science.
Vice Head of Public Relation - External Relation department
The Psychealer
09.2021 - Current
Composed bi-weekly social media posts about eating disorders and peer pressure in high school students to increase awareness about mental health among Vietnamese youths
Organized a workshop on 'How to define a toxic relationship?' and invited lecturers from the VNUHCM-University of Social Sciences and Humanities to be guest speakers, attracting 100 participants
Organized a workshop on 'Misconception' about Autism, OCD and ADHD among students and invited speakers from Saigon Hospital of Pediatrics 2, attracting 50 participants.
Research Assistant and Co Author
A Happier Me Lab
07.2023 - 09.2023
Recruited 210 participants to investigate whether the entertainment content they consumed would affect their mental well-being
Administered the experimental design by having participants watch one of three films (on Financial Burden, Family Issues, and Peer Pressure) before they responded to surveys on their mental health
Analyzed the impact of 13 variables on the participants' stress-levels using Multivariable Linear Regression
Composed a research paper on 'How to help adolescents control their feelings?' using the Participatory Action Research (PAR) framework
Organized a workshop on 'Adolescent's Peer Pressure' with guest speakers from the University of Social Science - Humanities of Vietnam National University.
Researcher
Eating Disorders Under the Biopsychosocial Lens
06.2023 - 07.2023
Learned about abnormal psychology, eating disorders, and the biopsychosocial model
Conducted critical analysis and review of more than 10 scientific papers on the relationship between social media platforms, body image dissatisfaction, and the heightened risk of eating disorders among adolescents
Developed and executed an experimental study aimed at investigating the impact of Instagram photos featuring unrealistic body images on Vietnamese teenagers aged 15 to 18
Designed a questionnaire with likert-scale to evaluate participants' potential of having body image problems
Analyzed the data using a one-tailed independent t-test
Presented the research findings at Otus Summer Fair.
Researcher and First Author
Mathematical modeling
06.2023 - 07.2023
Learned mathematical modeling and multivariable linear regression
Constructed a multivariable linear regression model to predict obesity rates across 50 US states
Reviewed over 5 research papers on the Manifold Learning Group to determine that Locally Linear Embedding (LLE) is the most suitable method to flatten multiple dimensions for this study
Employed the Akaike Information Criterion (AIC) to assess both a training subset (comprising 64% of the data) and a testing subset (comprising 36% of the data) to avoid overfitting
Utilized RStudio and Xquartz to visualize the data in a 2D format
Presented the research findings at the Otus Summer Fair.
Research Assistant
Brain Health Lab
07.2022 - 09.2022
Collected ELISA (enzyme-linked immunosorbent assay) on 80 participants and analyzed the data to determine the amount of cortisol released as a result of stress
Analyzed the correlation between stress levels and the amount of cortisol released
Conducted a survey to assess 30 potential consumers' preferred price for a novel equipment designed by the lab that can measure cortisol levels to determine stress.
Competitor and First Author
AI Challenge 2023 - Ho Chi Minh City
09.2023
Evaluated the Contrastive Language-Image Pre-training (CLIP) Model developed by OpenAI to assess its effectiveness in retrieving specific images embedded in videos from a user's text-query
Preprocessed a dataset of 100-watch-hours from 290 videos of daily news and documentaries
Applied Convolutional Neural Networks (CNN) to encode images and Bidirectional Encoder Representations from Transformers (BERT) to encode text queries from the training subsets
Combined them into the CLIP Model and used the similarity score to choose the best fit result
Optimized the model using Batch, which processes multiple images at a time, to reduce execution time
Ranked 12 out of 50 teams in the competition.
Competitor and First Author
The eMission - Math Modelling Competition
08.2023
Constructed a multivariable linear regression model to predict the damage to crop production by typhoons in the Northern region of Vietnam
Collected data on typhoons that hit Vietnam from 2000-2020 from the Vietnam Meteorological and Hydrological Administration website
Used Principal Component Analysis (PCA) to reduce the data size
Evaluated the shortages of the model by analyzing the Root Mean Square Error (RMSE) in each subset
Ranked top 11 out of 80 teams participating in the first round.
Competitor and First Author
The eMission - Math Modelling Competition
08.2023
Constructed a K-Nearest Neighbor (KNN) Regression model to predict forest loss using Google Colab as the programming site and Python as the main coding language
Collected data of forest loss from the Ministry of Natural Resources and Environment (MONRE)
Evaluated the model using Learning Curve and Cross Validation Score, resulting in the model having a low chance of Overfitting, with 80% response variables being explained by explanatory variables
Constructed the combined model to predict the area covered by forest from 2002, which involved a sinusoidal function for the forest loss, a linear equation for the forest growth, and a 4-degree-polynomial function for the natural forest
Ranked top 5 overall out of 30 teams competing in the second round.
Attendant
PiMA 2023: Applied Mathematics in Bioinformatics
07.2023
Attended a Probability and Statistic class on Bayes theorem, Monty Hall problem, Rabin-Karp and Knuth-Morris-Pratt algorithm for Genetic String Matching problem, and applied Eulerian path for DNA Sequencing Assembly using Python
Attended Mr
Thien Le's lecture, a Computer Science PhD at MIT, on Algorithmic Biology, which covered Phylogenetic Tree estimation, Maximum Likelihood Estimation, and clustering analyses
Attended Mr
Vuong Hy's lecture, engineer at Bioturing, on Single-Cell Research, showcasing BBrowserX and Talk2Data platforms
Distinguished between local and global alignment, substring search using suffix arrays/trees and the Burrows-Wheeler Transform in Genetic Sequence Alignment
Applied greedy algorithm, Overlap Layout Consensus, and de Bruijn graph in De Novo Assembly.
Education
Bachelor of Science - Computer Science
University of Florida
05-2028
Mathematics
VNU-HCMC: High School for The Gifted
05.2024
Skills
Machine Learning
Software and Hardware Programming
Student Tutoring
Project Management
Experimental Design
Statistical Analysis
Awards
Top 5: Math Modelling Contest "The eMission", Ha Noi Math Modelling Federation and VinUniversity, National, 2023
Gold Award in Mathematics: International Mathematics Olympiad Competition of Southeast Asia, National, National, 2023
Bronze Award in Mathematics: National Philippines International Mathematical Olympiad, National, National, 2023
First prize in Mathematics: Ho Chi Minh city Merit Competition, Regional, 2021
Timeline
Competitor and First Author
AI Challenge 2023 - Ho Chi Minh City
09.2023
Competitor and First Author
The eMission - Math Modelling Competition
08.2023
Competitor and First Author
The eMission - Math Modelling Competition
08.2023
Research Assistant and Co Author
A Happier Me Lab
07.2023 - 09.2023
Attendant
PiMA 2023: Applied Mathematics in Bioinformatics
07.2023
Researcher
Eating Disorders Under the Biopsychosocial Lens
06.2023 - 07.2023
Researcher and First Author
Mathematical modeling
06.2023 - 07.2023
Content Writer in Natural Science department
Scientiador - Love for Science
01.2023 - Current
Member of Math department
2School Guideline
09.2022 - Current
Member of Math department
The Gifted Battlefield
09.2022 - Current
Research Assistant
Brain Health Lab
07.2022 - 09.2022
Head of Tutoring Department
The Loving Heart
06.2022 - Current
Vice Head of Public Relation - External Relation department