iResearch Institute
Glen Cove, United States
About iResearch Institute
iResearch Institute provides science research education for motivated high school and early college students. Founded and led by Dr. Serena McCalla, it combines research methods coursework with original, student-driven projects supported by mentors. Students develop skills in data analysis, scientific writing and presentations, with opportunities to prepare work for science competitions or publication. Its 2026 summer offering is virtual.
Teaching style
Instruction combines live, recorded research methods classes with mentor-guided independent projects, small-group discussions, office hours and assessed assignments. Students use scientific literature and available datasets to develop research questions, practice computational analysis and prepare research papers and presentations. Project mentoring is matched to students' scientific interests.
Reputation & Succeed take
The provider reports student achievements in Regeneron STS, ISEF and JSHS, alongside examples of student publications. Founder Serena McCalla appears in Science Fair and Science Fair: the Series, and her biography reports four US Presidential Scholar Teaching Awards. These are provider-reported achievements; the supplied evidence does not establish an overall success rate.
Our take
A strong fit for students seeking structured support for an original computational science project and practice communicating their findings. Its combination of research methods teaching, mentoring and competition preparation is useful for ambitious independent researchers. Applicants should check mentor fit, available datasets and the live schedule, and understand that project completion is not guaranteed.
Its distinguishing features are original, student-driven projects, research methods instruction from Serena McCalla and computational work using available datasets. Mentoring is provided by undergraduate, graduate, postdoctoral or Ph.D.-level mentors rather than guaranteed university professor placements. Research papers, presentations and science competition preparation are central to the model.
Who this provider suits
Who should choose them
Motivated high school and early college students with foundational science knowledge who want to investigate an original question using data science and computational methods. It particularly suits students willing to complete independent assignments, seek mentor feedback and develop scientific writing and presentation skills. International applicants should be comfortable with the stated US time-zone schedule.
Who it may not suit
Students seeking an in-person laboratory experience, a guaranteed university professor placement or guaranteed project completion should consider other options. Students whose projects depend on unavailable online data may also find the format unsuitable. International applicants who require financial aid should note that the provider excludes them from aid and fee waivers.
