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1:1 AI + X Research Mentorship

Student Research Journeys

Through personalized guidance from top AI researchers, our Inspirit AI 1:1 AI + X alums have gone on to publish their research in academic journals, present at prestigious conferences, and earn top awards at top science fairs. Explore their incredible achievements and see how Inspirit AI is shaping the next generation of AI-driven innovators.

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Every result links to its public record Cohorts from 2023–2026

  • 180+
    students with a published outcome
  • 120+
    journal papers & preprints
  • 70+
    science fair & competition results
  • 20+
    conference presentations
Featured wins

Each one started as a 1:1 project with a Stanford- or MIT-trained mentor.

  • Gold Medal, then Canada-Wide

    Vera Golubitsky · 2026

    Gold at the Waterloo-Wellington fair and Silver at the Canada-Wide Science Fair, for modelling the light echo of active galaxy BL Lacertae from high-cadence light-curve data.

    See the record

  • 1st Place, PA Academy of Science

    Aaisha Ansari · 2025

    First place at the Pennsylvania Junior Academy of Science regionals and a place at the state fair, for a machine-learning method to determine the age of supermassive black holes.

    See the record

  • Published in the Journal of Clinical Oncology

    Amrik Majumdar · 2026

    Peer-reviewed research on multi-timepoint imaging for lung-cancer staging, presented at the 2026 ASCO Annual Meeting — an academic venue, not a student journal.

    See the record

  • Grand Champion → ISEF Dallas

    Bliss Singhal · 2023

    Grand Champion at the Central Sound Regional fair and 1st place in Translational Medicine at the Washington State fair, for a deep-learning framework predicting intractable seizures. Now at the University of Pennsylvania.

    See the record
Student outcomes explorer

Every outcome, in one place

Publications, conferences, science fairs and college acceptances — filter by year, domain or outcome type. Every result here links to its official record. Where a student also has a write-up in the project gallery, the row links to that too.

Student research outcomes
Type Links
Abhinav DesaiHealthcare and Biology2026PublicationImproving Fine-Grained Medication Recognition with DINOv2 Projection Head RetrievalOxford Journal of Student ScholarshipHigh school journalRecord (opens in a new tab)
Ahmet Doruk BaskanBusiness and Finance2026PublicationPrice Prediction From Auction Log DataNational High School Journal of ScienceHigh school journalRecord (opens in a new tab)
Ajay GoverdhanEnvironment2026PublicationA Convolutional Neural Network for Binary Classification of Monarch ButterfliesNational High School Journal of ScienceHigh school journalRecord (opens in a new tab)
Amrik MajumdarHealthcare and Biology2026PublicationConferenceTracking Tumor Evolution Through Multi–Timepoint Imaging Improves Lung Cancer StagingConf paper from 2026 ASCO Annual MeetingJournal of Clinical OncologyAcademic journalASCOPresentedAcademic conferenceRecord (opens in a new tab)
Anay AgarwallaCybersecurity2026PublicationHidden Signals in Language: Inferring Sensitive Attributes from Reddit Comments Using Machine LearningarXivPreprintRecord (opens in a new tab)
Avyank NirajCybersecurity2026Science fairAn Empirical Analysis of the Effect of Image Entropy on Reliability of Statistical Steganalysis Detection MethodsWSSEF1st placeISEF ladder: StateRecord (opens in a new tab)
Cyrus DarkiHealthcare and Biology2026PublicationEvaluating the Impact of Symptom Selection on Machine Learning Models for Type 2 Diabetes ScreeningCurieux Academic JournalHigh school journalRecord (opens in a new tab)
Dev PatelEngineering2026PublicationScience fairPhysics-Based Simulation and Machine Learning for Optimal Two-Layer Thermal Protection System DesignSSRNPreprintColorado Science and Engineering Fair1st place in Mathematics and Computer ScienceISEF - StateRecord (opens in a new tab)
Dhanvin PatelHealthcare and Biology2026PublicationConferencePSCAN-AI Object Detection Based Deep Learning Framework for Early Skin Disease Detection and ClassificationConf paper from International Conference on Integrated Intelligence and Cognitive Engineering (ICIICE)IEEEAcademic journalIEEE International Conference on Integrated Intelligence and Cognitive Engineering (ICIICE)PresentedAcademic conferenceRecord (opens in a new tab)
Iman Al-AliBusiness and Finance2026PublicationPredicting Prices of Stocks in the Market by Using Past Data and PricesOxford Journal of Student ScholarshipHigh school journalRecord (opens in a new tab)
Jaden CheungHumanitarian Efforts and Social Justice2026PublicationPredicting Next-Year Homelessness Levels Using HUD Point-in-Time DataOxford Journal of Student ScholarshipHigh school journalRecord (opens in a new tab)
James SunHealthcare and Biology2026PublicationScience fairIndividualizing ZIP-Level HHI for Next-Day Heat-Illness Risk Prediction with Machine LearningCurieux Academic JournalHigh school journalTerra NYC Science Fair1st placeISEF - RegionalRecord (opens in a new tab)Project (opens in a new tab)
Keegan CrastoEngineering2026PublicationEvaluating Hybrid Rollout for Efficient Robotic SimulationNational High School Journal of ScienceHigh school journalRecord (opens in a new tab)
Pari BhandariJournalism2026PublicationNew York Times Headlines Sentiment Analysis: Classification, Regression, and Transformer ModelsOxford Journal of Student ScholarshipHigh school journalRecord (opens in a new tab)
Samuel GuoHealthcare and BiologyNortheastern2026ConferenceStacked EfficientNet Ensembles Achieve State-of-the-Art ECG Rhythm Classification from Synchrosqueezed ScalogramsAIIM conferencePresentedAcademic conferenceRecord (opens in a new tab)
Shan Vance2026Science fairProject title not recordedTrack II Middle School Presidential AI ChallengeMiddle School Track II ChampionNational levelRecord (opens in a new tab)
Shaunak ThamkeEnvironment2026PublicationThe Impact of Image Classification Using Convolutional Neural Network on Wildfire DetectionInternational Journal of High School ResearchHigh school journalRecord (opens in a new tab)
Shriya CharHealthcare and Biology2026PublicationHierarchical Multi-Omic Integration for Immune Cell ClassificationUCLA Undergraduate Science JournalUndergraduate journalRecord (opens in a new tab)
Siddhi LakkarsuJournalism2026PublicationAI-Based Fake News Detection on Social Media Posts Combining Multimodal and Unimodal Methods for Binary ClassificationNational High School Journal of ScienceHigh school journalRecord (opens in a new tab)
Sriaditi YellamrajuBusiness and Finance2026PublicationDo Sustainable Practices Drive Stability? An Empirical Study of ESG and Financial PerformanceCurieux Academic JournalHigh school journalRecord (opens in a new tab)
Tisha JoshiHealthcare and Biology2026ConferenceScience fairDetecting Breast Cancer Using a Convolutional Neural NetworkPenn State Global Impact ForumPresentedAcademic conferencePittsburgh Regional Science and Engineering Fair2nd place in Computer ScienceISEF - RegionalRecord (opens in a new tab)
Tyler HatstadtHealthcare and BiologyUChicago2026PublicationConferenceInvestigating the impact of obesity as an immunological instigator on young-onset arthritis using perturbation-based simulationbioRxivPreprintAAI Midwinter ConferencePresentedAcademic conferenceRecord (opens in a new tab)
Vaishnav AnandCybersecurityMIT2026PublicationConferenceA Domain Shift Evaluation Protocol for Fake Satellite Image Detection: CNN Superiority and the Enhanced Model ParadoxConf paper from IEEE 5th International Conference on AI in Cybersecurity (ICAIC)IEEEAcademic journalIEEE 5th International Conference on AI in Cybersecurity (ICAIC)PresentedAcademic conferenceRecord (opens in a new tab)
Vedang ManthaBusiness and Finance2026PublicationShort-Horizon Stock Price Forecasting Using Sliding Window Machine Learning and Ensemble TechniquesCurieux Academic JournalHigh school journalRecord (opens in a new tab)
Vera GolubitskyPhysics2026Science fairModelling the Light Echo in Active Galaxy BL Lacertae Using High-Cadence Light Curve DataWWSEFGold MedalISEF ladder: NationalCanada-Wide Science FairSilver MedalRecord (opens in a new tab)

Inspirit 1:1 Alum Wins the 2024 Princeton University Science Fair — and Joins Princeton’s Class of 2029

Read About Jaymin's AI Research Journey

In their own words

Watch students present their research

Every 1:1 AI + X project ends with the student presenting their own work — the question, the data, the model, and what it found.

  • Unveiling Intractable Epileptogenic Brain Networks with Independent Component Analysis and Deep Learning: A Novel and Comprehensive Framework for Scalable Seizure Prediction in Unimodal Neuroimaging Data in Pediatric Patients

    Bliss Singhal

    ISEF Finalist · now at the University of Pennsylvania

    Watch on YouTube

  • Astronomical Redshift and Machine Learning: Determining Age of Supermassive Black Holes

    Aaisha Ansari

    1st Place at the Pennsylvania Academy of Science · accepted to State ISEF

    Watch on YouTube

  • OSCAR: Obstructive Sleep Apnea Classification and Risk: A Machine Learning Framework for Improving Sleep Apnea Severity Classification

    Dylan Po

    Accepted to State ISEF

    Watch on YouTube

  • Hotel Reservation Cancellations: Predictive Modeling and Feature Impact Analysis

    Grant Lau

    Published in the Journal of High School Science

    Watch on YouTube

  • AI-Based Image Classification Used to Accurately Distinguish Recyclable Material Versus Non-Recyclable Material

    Katarina Avlijas

    Accepted to Synopsys

    Watch on YouTube

  • Deep Manifold Learning for Reading Comprehension and Logical Reasoning Tasks with Polytuplet Loss

    Jeffrey Lu

    Accepted to the Future of Information and Communication Conference

    Watch on YouTube

  • The Use of Artificial Intelligence to Predict Loan Defaults

    Prashanth Venkatesh

    Published in Curieux Academic Journal

    Watch on YouTube

  • Predicting Fake Job Listings from Real Ones Using Machine Learning Models

    Ronit Munshi

    Accepted to the Greater San Diego Science and Engineering Fair

    Watch on YouTube

  • Utilizing Artificial Intelligence in Gravitational Microlensing Detection: A Novel Study to Enhance Dark Matter Findings

    Suhaan Khan

    3rd Place at State TSEF

    Watch on YouTube

Inspirit 1:1 Alum Accepted into the Journal of High School Science — and Joins Cornell’s Class of 2029

Read About Shruti's AI Research Journey

Where they go next

College acceptances

Where our 1:1 AI + X alumni have gone on to study. Individual acceptances appear beside the student’s name in the table above.

Logos of universities Inspirit AI alumni have been admitted to
In the past two years, 100+ of our 1:1 AI + X alumni have gone on to Harvard, Columbia, Princeton, Stanford, Brown, UC Berkeley, Cornell and Cambridge, among many other top universities worldwide.

View full college admissions results

Start your own research journey.

1:1 AI + X pairs you with a Stanford- or MIT-trained mentor to take one idea from first line of code to a submitted paper, a science fair entry, or a conference talk.

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