Student interview
STUDENT WORK
The work that made an impact.
Published research, international presentations, competition wins, and products released to real users—created by Lucid students with close technical mentorship.
START WITH THE OUTSIDE RECORD
Verifiable Student Outcomes
Checkout the journal, conference, or competition students published to, don't just take our word for it.
REGENERON ISEF 2026 · FIRST AWARD
A new avenue for treating retinal disease
Shivum’s translational medicine project identified a retinal signaling pathway and biomarker group for therapeutic intervention.
AI FOR MATERIALS · PEER-REVIEWED PUBLICATION
Machine learning for photocatalyst discovery
Satya built a machine-learning pipeline that generated and screened 120,000 metal–organic framework candidates for environmental applications.
MEDICAL AI · INTERNATIONAL PRESENTATION
Automated brain-tumor segmentation
Nidhi compared U-Net architectures for segmenting brain tumors in MRI scans and carried the work from model experiments through a full research paper.
MSEF FIRST-PLACE WINNER
Saaya explains what it took to finish the project.
She describes the technical work, the mentorship, and how an early idea became a first-place science-fair result.
1st placeMassachusetts Science & Engineering Fair4:07Student interview
Shipped to the App Store. Tested at the science fair.
More examples from Lucid’s programs, including a live product and an award-winning environmental investigation.
SafeBite
An AI-powered healthy-eating application inspired by a personal family experience and released on the App Store.
Built by Prathyush
AI for carbon capture
A student-led investigation into carbon-capture methods that earned five science-fair awards, including first place in Environmental Science in Massachusetts.
Built by Tanvi
MORE STUDENT INTERVIEWS + PRESENTATIONS
Watch students explain the technical work themselves.
Full project presentations and interviews from previous Lucid programs.
Student interview
Ayaan & Ryan · AI Academy interviews
Student interview
Rishika · Student interview
Project presentation
Pneumonia detection model
Project presentation
Brain tumor segmentation with CNNs
Project presentation
Facial expression recognition
THE FULL TESTIMONIAL ARCHIVE
What students and parents remember.
Restored from Lucid’s earlier program pages and interview archive.
“We always got to apply the skills on our own. It taught us how to figure things out for ourselves and make the models work.”
“I earned first place in Environmental Science at the regional fair, was nominated for the Thermo Fisher Junior Innovators Challenge, and advanced to the state fair. My mentor’s feedback helped me prepare, practice, and succeed.”
“Thank you for teaching Sara programming and research. It was a wonderful learning opportunity, and your hard work made the program a meaningful experience for her.”
“The program was a short lesson followed by lots of hands-on coding and group work. It was a great way to learn.”
“This class was different because most of what we learned came from practicing and writing code ourselves.”
“The most important skill I gained was learning to work with teammates to communicate and create a project together.”
“I’d recommend this program to anyone interested in AI, machine learning, or data analytics. It helps you see where the future is heading and how to be part of it.”
“I earned third place at the Massachusetts Science & Engineering Fair. Thank you again for all your help and support.”
A note on outcomes
Competition awards, internships, publications, and admissions results depend on the student, the project, and external decision-makers. Lucid provides instruction, structure, mentorship, and preparation; it does not guarantee third-party outcomes.
Your project could be next.
Start with the program-fit conversation, and we'll help map the right path from interest to serious work.
Start the application