hi , i am
suhani
bansal .

a sophomore at Design Tech High School

Get started

about me

I am a sophomore at Design Tech High School.

Hi, I’m Suhani Bansal, a sophomore at Design Tech High School interested in using computer science and biology to improve healthcare. I’m motivated, analytical, and empathetic, and I enjoy turning complex data into clear, useful insights. I work on research projects in genetics, machine learning, and antibiotic resistance, and I’ve presented my work at science fairs and conferences. I’m also involved in leadership and STEM extracurriculars. On this website, you’ll find my projects, accomplishments, and interests.

profile_image

Skills & Interests

research + data collection
public speaking + presenting
design thinking
computer science
statistics
bioinformatics

Clubs & Extracurriculars

Student Council

Co-President

Jan 2026 – Present

Secretary

Apr 2025 – Jan 2026

Representative

Mar 2025 – Apr 2025

Model United Nations

Conference Innovation Committee (d.mun III)

May 2025 – Present

Chair – Gender Equality in STEM Fields - SOCHUM Committee (d.mun III)

May 2025 – Present

Delegate

Aug 2024 – Present

Secretariat (d.mun II)

Aug 2024 – May 2025

Girls Who Code

Club Chair

Aug 2025 – Present

Member

Sep 2025 – Present

Awards & Accomplishments

Selected for Publishing and Presenting Research (IEEE CCWC, Feb 2026)
Honorable Mention – SMUNC (Stanford Model United Nations, Nov 2025)
Honorable Mention – GMUNC (Gunn Model United Nations, Oct 2025)
Research Award – FHSMUNC (Foothill Model United Nations, Apr 2025)
Third Place – ACSEF (Alameda County Science and Engineering Fair, Mar 2025)
2nd Place, Materials Science – CSEF (California Science and Engineering Fair, Apr 2024)
1st Place, Materials Science – SMCOE STEM Fair (Mar 2024)
Top 10% in Middle School STEM Fair Projects (Mar 2024, Mar 2023)
Top 300, Thermo Fisher Scientific Junior Innovators Challenge (Sep 2023)
1st Place, Physics – SMCOE STEM Fair (Mar 2023)

STEM Projects

2026
A Machine Learning-Based Diagnostic Utility for Predicting Ertapenem Resistance in Klebsiella Pneumoniae Using MALDI-TOF MS Spectra

Summary: Built lightweight models using MALDI-TOF MS spectra to predict ertapenem resistance in Klebsiella pneumoniae quickly and accurately. Logistic Regression, MLP, and Random Forest achieved test accuracies of 86%, 84%, and 78%, supporting faster, targeted treatment decisions without slow or expensive genomic workflows.

Publication Link:

2025
Genetic and Bioinformatics Analysis of Celecoxib: A CYP2C9-Focused Study

Awards: 3rd Place ACSEF
Summary: Investigated how CYP2C9*2 and CYP2C9*3 variants affect celecoxib metabolism, highlighting genotype-guided dosing to improve patient safety and outcomes.

2024
Sea to Style: Crafting Sustainable Seaweed Biofabrics

Awards: 2nd Place CSEF, 1st Place SMCOE STEM Fair
Summary: Developed biodegradable seaweed-based fabrics to reduce toxic textile waste and improve environmental and human health impacts from conventional clothing production.

2023
The Shocking Truth About Smartphones and Internet Routers

Awards: Top 300 Thermo Fisher JIC, 1st Place SMCOE STEM Fair
Summary: Measured electromagnetic radiation from smartphones and routers to support safer device habits and reduce potential health risks.

contact me

Suhani Bansal

Student at Design Tech School

email

suhanibansal633@gmail.com

website

www.suhanibansal.com

GitHub

https://github.com/suhanibansal870/