Padmapriya Parthasarathy
COO · Program Lead
25+ years at Oracle plus over a decade teaching computer science, Python, AI, and data science.
LinkedInJuly 2026 cohort open. Registration closes June 1 · seats are limited.
• SUMMER 2026 • GRADE 7 AND UP
A 2-week AI & Healthcare research program, taught by the founders.
Over two weeks, students build an original research project on a real public health dataset. No prior coding experience required. Guided by DIYA co-founders Padmapriya Parthasarathy and Anjana Manian.
July 13 – 24, 2026 · Grade 7 and up · Virtual · $400
Application received
Founders built careers at
How it works
From fundamentals to a finished research project, in 10 sessions.
Ten live virtual sessions, two hours each, working with real public health datasets in Tableau. No prior coding experience required.
Week 1
Foundations: AI in healthcare
- Interpreting medical research and clinical studies
- How AI is used in clinical practice today
- Health disparities and equity in healthcare data
- Distinguishing correlation from causation
- Medical data ethics and patient privacy
Week 2
Research: Building the project
- Formulating an original research question
- Analyzing real public health data with Tableau
- Drawing evidence-based conclusions
- Creating visualizations and a findings brief
- Presenting at the live final showcase
The track record
This is not our first cohort.
200+
Students trained in 5 years
Across DIYA's research programs and competitions since 2020.
3 Years
Princeton High School Research Program partner
DIYA has run a quarter-long Data Science unit for Princeton High School's Research Program students in 2023, 2024, and 2025.
Princeton High School
"DIYA provided my students with an introduction to coding and data literacy. The supportive, collaborative nature of the program, particularly the Capstone Project at the end, allowed students to interact with their peers, whose varied backgrounds and coding experience made for rich conversations and productive analysis of data. It was a fantastic experience for my students, and I am looking forward to implementing it again next year."
Jennifer Smolyn
Biology & Research Teacher, Princeton High School
Cornell University
"The DIYA research program has been an invaluable experience. The mentors provided valuable feedback and encouraged me to think critically and explore different perspectives. Their mentorship helped me develop a structured approach to research and enhanced my analytical and problem-solving skills."
Vienna Li
DIYA Research Student
Stanford University
"DIYA showed me that data scientists could be changemakers, not just backseat workers. My experience convinced me of the growing importance of machine learning and AI, so I plan to pursue a minor, or even a major, in the field wherever I end up going to college."
Sandeep Sethuraman
DIYA Research Student
What students walk away with
Four tangible outputs, not a certificate of attendance.
Every student finishes the program with work they can reference on applications, in essays, and in interviews.
01
An original public health research project
Students formulate a research question, analyze real public health data, and draw evidence-based conclusions. The final artifact is documented research to reference on college applications, in essays, and in interviews.
02
Data literacy with Tableau
Hands-on fluency with Tableau and no-code data tools. Students learn to clean, visualize, and interpret real datasets, without needing to write a line of code first.
03
Direct mentorship from the founders
Small virtual cohort with direct feedback from Padmapriya Parthasarathy and Anjana Manian. No rotating graduate-student TAs reading from a script.
04
A live showcase and certificate
Students present their research at a live final showcase and receive a certificate of completion. A documented, presentable project shaped the way admissions readers want to see student work.
The team behind DIYA
Students work directly with the founders.
DIYA was founded by five women with 25+ years each at Princeton, UIUC, PayPal, Oracle, Cisco, Boeing, and JPMorgan Chase. The AI & Healthcare Program is led directly by Padmapriya Parthasarathy and Anjana Manian.
Anjana Manian
CEO · Instructor
25+ years at PayPal, Checkr, Oracle, and Cisco. Volunteers teaching high school CS with TEALS and StandUp for Kids.
LinkedIn
Suma Bhat
Chief Innovation Officer
Research Scholar in Computer Science at Princeton. Former Assistant Professor at UIUC. Researches AI, NLP, and human-AI interaction.
LinkedIn
Mahe Krishnan
Chief Technology Officer
Data Scientist and Engineering Leader at Boeing Intelligence & Analytics. 25+ years in cloud, data architecture, and scalable systems.
LinkedIn
Bhuvana Ganesh
Chief Financial Officer
VP, Lead Software Engineer at JPMorgan Chase. 25+ years in software development. Leads Women in Tech at JPMC.
LinkedInThe fine print
Program details.
ProgramAI & Healthcare Program
DatesJuly 13 – 24, 2026 · 2 weeks, 10 weekdays
Schedule2:00 – 4:00 PM PST, Monday through Friday
FormatVirtual · live sessions over Zoom · recordings shared after each class
WorkloadMost work done during live sessions · minimal homework between classes
GradesGrade 7 and up
PrerequisitesNo coding required · comfort with basic algebra · interest in health or life sciences
ToolsTableau and no-code data tools (included, no software purchase needed)
TechnologyA computer and a stable internet connection · no special hardware required
Cohort sizeSmall and capped to keep mentorship direct
Final projectOriginal research project · Tableau visualizations · written findings brief · presentation at live showcase
CertificationCertificate of completion for students meeting participation requirements
Price$400
Refund policyFull refund minus $75 admin fee before May 31 · no refunds after June 1
Referral bonus$25 for each referred student who enrolls and completes the program
Evaluating a summer program
Three things that separate a research program worth the investment from a forgettable one.
01
Who actually teaches the class
Many summer programs are taught by college undergraduates reading from a pre-built curriculum. Programs where the founders or senior instructors teach directly produce dramatically better outcomes. Students learn more in 20 hours with an experienced operator than in 60 hours with a rotating TA.
02
What the student actually leaves with
A participation certificate is not a credential. Look for programs that produce a tangible artifact: an original project, presented work, or a documented research finding that can be pointed to on an application.
03
Whether it fits a serious student's summer
Short, structured, and accessible matters. A two-week virtual program that does not require prior coding experience respects that students also have SAT prep, family commitments, and other priorities competing for their time.
Questions parents ask
Frequently asked questions
My child has no coding experience. Is this program a fit?
Yes. This program does not require any prior programming experience. Students work with Tableau and other no-code data tools to analyze real public health datasets. We recommend comfort with basic algebra and interpreting simple graphs, and an interest in health, biology, or life sciences.
Is the program online, in-person, or hybrid?
Fully virtual. The program runs through live online sessions from 2:00 PM to 4:00 PM PST daily, Monday through Friday, over the two weeks. Recordings of each session are shared so students can review.
How many hours per day is the program?
Two hours of live instruction per weekday, for a total of roughly 20 hours over two weeks. Most of the research work is completed inside the live sessions, so homework load between sessions is minimal.
What grades is the program for?
The program is open to students in grade 7 and up. If you are unsure whether it is the right fit for your student, please reach out and we will help you decide.
What does my child actually finish the program with?
A completed original research project applied to a real public health problem, including the analysis, visualizations in Tableau, a written findings brief, and a presentation delivered at the live final showcase.
Students who meet participation requirements also receive a certificate of completion. The research project itself is material students can reference on college applications, in admissions essays, and in university or internship interviews.
Who is actually teaching the class?
The AI & Healthcare Program is led directly by Padmapriya Parthasarathy (DIYA's COO, 25+ years at Oracle plus over a decade teaching) and Anjana Manian (DIYA's CEO, 25+ years at PayPal, Checkr, Oracle, and Cisco). Students work with the founders directly, not with a rotating group of undergraduate TAs.
When does registration close?
Seats are limited and fill on a rolling basis. Practically, registration effectively closes on June 1, 2026, as withdrawals after that date are non-refundable.
What is the refund policy?
Withdrawals before May 31, 2026 receive a full refund minus a $75 administrative fee. No refunds are issued for withdrawals on or after June 1, 2026.
Is there a referral discount?
Yes. Students earn $25 for each referred student who enrolls in a DIYA program and completes it.
Still here? The July 13 cohort is filling up.
Scroll back up to reserve a seat, or grab the blueprint below if you want to think it over.
Not ready to enroll?
Download our free blueprint for parents: how AI research projects build stronger college applications.
Download the BlueprintAI & Healthcare Program · $400
July 13 – 24 · Virtual · Grade 7 and up