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SimLab Academy
About SimLab Academy

Real research training, without a research lab of your own

Our mission

SimLab Academy exists to teach computational science the way it's actually practiced - through structured lectures, guided reading, collaborative live laboratories, real assignments, and cloud-based research environments, learned alongside a small cohort of peers rather than alone in front of a video playlist.

The problem we solve

Computational methods like molecular dynamics are central to modern biology, chemistry, and materials science - yet access to them is gated by expensive hardware, fragile local software installs, and a steep, often unguided learning curve. Many students never get past environment setup before giving up entirely.

Why cloud laboratories matter

By moving the laboratory into the browser, we remove the single biggest barrier to entry: local setup. Every student gets an identical, pre-configured research environment, provisioned and managed by us - never requiring students to touch cloud provider accounts, billing, or credentials.

Why cohort-based learning matters

Learning computational science alone is isolating and easy to abandon. A small, capped cohort with scheduled live laboratories creates accountability, peer troubleshooting, and the kind of collaborative scientific culture that produces real researchers.

Founder & Instructors

SimLab Academy was founded and built by Oluwatosin Saibu, a PhD researcher in Chemistry and Biochemistry at New Mexico State University studying membrane protein dynamics and drug discovery through molecular dynamics simulations. All sections are taught by Oluwatosin alongside Temitope Odunitan, a computational biologist specializing in in silico drug screening and molecular docking. Together, they built SimLab Academy to give students the hands-on research experience that traditional courses rarely provide.

Oluwatosin Saibu

Oluwatosin Saibu

Founder & Lead Instructor

Temitope Odunitan

Temitope Odunitan

Co-Instructor

Where we're headed

Molecular dynamics is our first course. Future tracks will extend into computational chemistry, bioinformatics, structural biology, artificial intelligence in biology, and high-performance computing - always cohort-based, always hands-on.

Academic integrity

Assignments and quizzes are individual work unless explicitly stated otherwise. Collaboration and discussion during live laboratories is encouraged and expected - submitting another person's work as your own is not. See our full Academic Integrity Policy.