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After receiving a PhD/MSc rejection from Stanford, I’ve decided to embark on a 1-year journey of discovery, building, and launching at the intersection of Biology, AI, and Computer Science.
Methodology
“Move Fast, Break Things, Fail, Keep Trying”
The Discovery Phase
Given my lack of affiliations, and resources, I will not be pursuing hard-to-solve high product risk problems such as therapeutics, diagnostics, or medical devices at this stage (as much as I’d like to, I have to be realistic given my current situation). The problems I aim to find and solve lie in the research, healthcare, and biotech industry pipeline (as in, the steps and procedures along the process of conducting research, serving patients, or providing value through biotech products).
The Build Phase
After identifying problems, I’ve employed a mass build-feedback-reiterate cycle to launch MVPs and test them directly with end users. Given the lower regulatory barrier of these solutions, they may be deployed quickly and reiterated.
The Launch Phase
After crafting user-moulded MVPs, an aggressive launch phase is planned to roll out the MVP to users needing the solutions.
Current Discovery Phase Projects:
The Grant Allocator (name to be changed)
A one-stop shop for managing grants with complex restrictions — tailored for early-stage startups and academic institutions.
Stage: MVP Developed, beta-testing with end-users.
Developed in conjunction with Ketan Vashisht (UWestern).
BioGlass (through VCL, iGEM Startups Accelerator)
Glass production but cheaper, cleaner and safer using Synthetic Biology.
Stage: Pre-business development.
Developed in conjunction with Shannon Johnson (MIT), Bella Morse (UF).
MatlabAccelerate
Deploy Matlab simulations in minutes, not weeks.
Stage: pre-MVP
Developed in conjunction with Enrique Flores (UTEC Peru)