Computational Biology
Savanah Schuetz
She is an 11th grade student from The Instituto Educational Franklin Delano Roosevelt. She intends to major in Computational Biology.
Savanah is an exceptionally dedicated and positive student whose primary academic interests are Biology and AI. In her International Baccalaureate curriculum, she takes Higher Level Biology and Chemistry as well as Advanced Mathematics.
Learning objectives
- Conduct a thorough literature review, perform close reading, and take detailed notes.
- Digest, distill, and internalize information while identifying overarching themes through historical progression and lineage to construct a cohesive narrative for peers.
- Organize your thought process effectively to draft a detailed outline, create term tables, and design illustrations with clear, self-contained captions.
- Develop and refine the content progressively to complete a comprehensive and well-structured manuscript.
What challenges did she face?
- Savanah’s challenge is to gain multiple skill sets in literature search, digest and review, written communication, and presentation aesthetics, all within a short period of time.
How did our program help her?
- Savanah learned to digest, distill, and internalize information, identify overarching themes through historical progression and lineage, and craft a narrative for her peers.
- Savanah also learned to organize her thought process, draft a detailed outline, create term tables and illustrations with self-contained captions, and fill in the content to complete a manuscript.
Matched Professor
The mentor is an Associate Director and as Image Analysis Scientist at the Functional Neuroimaging Laboratory (FNL), Brigham and Women’s Hospital, Harvard Medical School. Hong’s research interests include mathematical statistics, biomedical image processing and analysis, and neural computation and machine learning.
“The student is very bright and eager to learn. She is always positive and cheerful. She has met my expectation very well within the short period of time.“
Mentor from University of Washington
Excerpts from student’s work
Excerpts from the student’s final research paper ‘Early Detection, Early Hope: A Review of Emerging Strategies in the Early Detection and Intervention of Alzheimer’s Disease’
