Research Mentoring
One-to-one research guidance from Insider Mentors - current students at Ivy League and leading US universities - building the academic depth and structured output that strengthens a university application.
What is research mentoring for high school students?
Research mentoring connects high school students one-to-one with a current student at an Ivy League or leading US university, guiding them through a structured research project in their chosen domain. Sessions run over 8 to 10 weeks, producing a tangible output such as a research paper, data analysis, or literature review, that strengthens a university application and builds genuine academic skills.
Six domains. Click to explore.
Research projects across molecular biology, genetics, biomedical engineering, and clinical health sciences - grounded in scientific literature, experimental design, or computational analysis.
- Literature review and analysis of CRISPR gene-editing applications in cancer treatment
- Computational analysis of protein structures using publicly available genomic datasets
- Research report on gut microbiome and its documented links to neurological conditions
Research projects exploring economic policy, financial markets, behavioural economics, and global trade - using data analysis, case studies, or structured academic argument.
- Analysis of central bank policy responses to inflation across emerging markets
- Research on the economics of Singapore's housing policy and long-term affordability
- Behavioural study of retail investor decision-making in volatile market conditions
Research projects in machine learning, neural networks, and applied AI - from conceptual analysis to building and evaluating models using Python and open datasets.
- Building a simple image classification model and analysing its performance trade-offs
- Research review of large language model alignment approaches and open problems
- Analysis of AI bias in recruitment tools using publicly available audit datasets
Research projects spanning cognitive neuroscience, behavioural psychology, and mental health - combining scientific literature with structured research methodology.
- Literature review on the neuroscience of adolescent decision-making and risk behaviour
- Research on the documented cognitive effects of social media use among teenagers
- Analysis of behavioural economics applications in mental health intervention design
Research projects in climate science, environmental policy, sustainability, and data-driven environmental analysis - increasingly valued in competitive university applications.
- Data analysis of urban heat island effects using publicly available satellite datasets
- Research review of carbon pricing mechanisms and their economic and environmental outcomes
- Policy analysis of Singapore's water sustainability strategy and global comparisons
Research projects using data analysis, statistical methods, and Python to investigate real-world questions - from sports analytics to social science to financial modelling.
- Python analysis of astronomical survey datasets to identify and characterise stellar patterns
- Statistical research on demographic factors correlated with university application outcomes
- Data-driven analysis of public transport efficiency across major Asian cities
Research projects currently in progress.
Three active engagements across three domains. Mentor and student profiles shown by institution and grade only.
Microbial Biology Research Project
Exploring microbial biology research questions, developing a structured project brief, and building analytical skills around scientific literature review and experimental design.
Astrophysics Data Analysis Project
Applying Python-based data analysis to astronomical datasets, developing research methodology skills, and producing a structured research output with original findings.
Business & Finance Research Project
Building quantitative research skills through economics and finance research, developing structured analytical frameworks, and producing a research output grounded in financial data.
All details shown are illustrative - mentor and student identities are not disclosed.
Hear from the mentors guiding this work.
A note from two of our Insider Mentors on what it has meant to guide a student through their first research project.
I really enjoyed my experience as a Research Mentor with AperioHub. It allowed me to work one-on-one with a student and guide them through the research process, from developing a project to analyzing results and working toward an impactful outcome. I especially enjoyed being able to share what I have learned from my own research experiences while helping students become more confident with bioinformatics and scientific thinking. Overall, it was a rewarding experience and helped me grow as a mentor as well.
As a mentor, I am able to teach aspiring researchers about the possible hurdles of their project before they encounter them, so they gain an understanding of what to look out for and expect throughout the process without getting stuck or having to backtrack too much. I believe this program will produce competent and, more importantly, confident young researchers in the years to come.
Individually vetted. Currently enrolled.
Every mentor is reviewed by AperioHub on academic depth, research experience, and ability to work with high school students before any introduction is made.
Quantitative research using Python and large astronomical datasets. Experienced in translating complex data questions into structured student projects.
Active research in oncology and molecular genetics at a leading research institution. Strong record of structured mentoring with high school students.
Biotech research with focus on protein engineering. Experience structuring accessible projects around complex molecular biology topics for high school students.
Research in applied ML and AI systems. Experienced in guiding student projects from research question through to model implementation and write-up.
Per session. No package required.
Each session is confirmed and paid individually before it proceeds. No minimum commitment, no package to purchase. You pay for what is delivered, session by session.
Engagements typically run 8 to 10 sessions - determined by the project, not a package tier. That is always a conversation between the student, mentor, and AperioHub.
No upfront package or minimum commitment required. Each session paid individually before it proceeds.
- No upfront package or minimum commitment
- Each session paid individually before it proceeds
- Engagement length determined by project - typically 8 to 10 sessions
- AperioHub manages scheduling, coordination, and documentation
- Session recording and AI notes included
- Parent and counsellor access to session logs throughout
From enquiry to completed project - managed throughout.
AperioHub handles matching, scheduling, and coordination across the full engagement. The student focuses on the research.
Submit an enquiry
A short form covering the student's grade, area of interest, and any initial research ideas. The more context you share, the better we can match with the right mentor profile. No commitment at this stage.
We suggest a match
AperioHub reviews the enquiry and suggests a couple of suitable mentor options based on domain fit and current availability. You indicate a preference and we confirm with the mentor.
Engagement page goes live
AperioHub sets up a private session page. Project brief shared before Session 1. Sessions run weekly, logged and recorded throughout. All coordination goes through AperioHub.
Project output delivered
The shape of the final output - research paper, data analysis, literature review, or other defined deliverable - is agreed jointly by the student and mentor at the start.
Sessions on your schedule
Typically weekly, 60 minutes each, via Google Meet or Zoom provided by AperioHub. AI-assisted notes generated automatically after each session.
Full visibility throughout
Session logs, recordings, and notes are accessible throughout. Parents and school counsellors can access the session page and follow progress from start to finish.
Structured, recorded, and fully tracked.
The engagement is tailored to the project, not the other way around. Some research questions need 6 sessions; others benefit from 12. The student and mentor set the direction together, with AperioHub's guidance throughout.
Tell us about your student.
Fill in the form and we will be in touch shortly with suitable mentor options. No commitment at this stage.
The more context you share on research interests and any initial topic ideas, the better we can match your student to the right mentor profile.
Questions we hear often.
The research your student does this year matters next year.
Submit an enquiry and we will be in touch with mentor options suited to your student's domain and goals. No commitment until you decide to proceed.