Research prep program for ambitious high school students.

Transform Your Scientific Curiosity Into Original Research

Work one-on-one with a Dartmouth-trained PhD scientist to develop an original research project, learn advanced computational and statistical methods, and prepare a scientific manuscript for publication.

20-Week Individualized Research Program | 40 Hours of Personalized Mentorship

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Our team pairs each student with an Ivy-League PhD mentor who provides customized and detailed evaluation to each student idea, ultimately leading to a published research paper over the span of 20 weeks. We teach students to evaluate and leverage computational tools like Python and R coupled with publicly available datasets to answer strategic personal of interest questions and further develop their writing abilities to ensure well-preparedness for college and higher education.

Meet your instructor, Dr. Azka Javaid. Presentation leveraging auto-encoders for effective denoising of network-based representation of Spatial Transcriptomics data at the Complex Networks Conference Proceedings.

Patent summary for Intelligent Framework Updater to Incorporate Framework Changes into Data Analysis Models, publication number 20210081826.

Meet your instructor, Dr. Azka Javaid. Dr. Javaid has published three patents (see right).

Patent summary for “Dynamic Prioritization of Action Items,” including publication number, abstract, application type, filing and publication dates, and inventors.
Patent summary for determining an individual's engagement level during communication, including publication number, abstract, filing date, publication date, and inventors.

Our Product

20-Week Individualized Course 20-Week Individualized Course
20-Week Individualized Course
$5,000.00

Develop a research paper over the span of 20-weeks with 40 hours of meeting time (2x per week) and unlimited check ins.

When
Availability for Scheduling

Instructors
Azka Javaid

PLOS Computational Biology research article page titled “Mouse-Specific Single cell cytokine activity prediction and Estimation (MouSSE).”
Springer conference paper page for “Autoencoder Denoising for Network-Based Spatial Transcriptomics Data with Applications for Cell Signaling Estimation,” from Complex Networks & Their Applications XIV
PLOS Computational Biology research article page featuring the title “STREAK: A supervised cell surface receptor abundance estimation strategy for single cell RNA-sequencing data.”
Springer conference paper page titled “Cell Signaling Characterization for Spatial Transcriptomics (ST) Data Using Network Analysis,” from Complex Networks & Their Applications XIII.
Bioinformatics Advances journal article titled “SPECK: an unsupervised learning approach for cell surface receptor abundance estimation for single-cell RNA sequencing data,” Volume 3, Issue 1, 2023.

Dr. Javaid develops computational methods for single-cell and Spatial Transcriptomics data. See sample first-author publications above.

Dr. Azka Javaid is a researcher at Dartmouth College. She obtained her PhD at Dartmouth College in the Quantitative Biomedical Sciences and her Bachelors from Amherst College in Computer Science and Statistics. She has worked at companies including IBM and has 17 research publications, including 5 first-author manuscripts, and 3 patents. Dr. Javaid has independently managed and published her research in journals including the PLOS Computational Biology and the Bioinformatics Advances and has presented her work at conferences like the Great Lakes Bioinformatics Conference (see video) and the Complex Networks.

Close-up portrait of a woman wearing a burgundy hijab and black pinstriped clothing

Let’s begin the conversation.

Not sure where to start? We’re here to help. Every student’s path is unique, and we want to ensure you find the perfect fit. Reach out with any questions.