Why Building and Selling a Business Made Justin Jadali a Better Research Scientist

The conventional path from undergraduate engineering to graduate research runs through labs, seminars, and research assistant positions. It develops technical competence within a defined academic context. What it rarely develops — because the academic pipeline is not designed to — are the operational, managerial, and decision-making skills that come from running an organization with real financial stakes and real employees depending on sound judgment.

Justin Jadali did not take the conventional path. Before he enrolled in Yale’s M.S. program in Mechanical Engineering and Materials Science, he built and operated an e-commerce company that grew to approximately 10 employees and sold at a six-figure valuation. That experience is not biographical footnote. It is one of the more instructive dimensions of how he arrived at Yale, and why the skills he brought with him are different from those of a researcher whose trajectory never left the academic environment.

What Running a Business Actually Requires

Building a company from the ground up — not a class project, not a simulation, but an operating business with payroll, inventory, customer relationships, and financial obligations — demands a specific and largely non-teachable set of capabilities. It requires the ability to allocate resources across competing priorities when all of them feel urgent. It requires maintaining operational consistency across a team whose members have varying skill levels and varying levels of self-direction. It requires making decisions with incomplete information, adjusting when those decisions prove wrong, and doing so without the safety net of a grade or a rubric that tells you how the assignment should have gone.

For Jadali, building that company to a point where it supported 10 employees was not an accident of early enthusiasm. It was the result of sustained operational discipline — the same discipline that distinguishes researchers who produce consistent experimental results from those who produce brilliant individual findings they cannot replicate.

The Decision to Sell

The sale of the business is as significant as its construction. Choosing to exit a functioning, revenue-generating company is not the same as abandoning a failed venture. It is an active decision about where to deploy finite time and energy — a recognition that the thing you built has reached the limits of what you personally want to build it into, and that the next phase of your development requires a different kind of work.

For Jadali, that decision coincided with a deepening engagement with research and with the technical problems in biomedical engineering that his academic trajectory had positioned him to address. He had spent years building and operating a business. He had developed, as a result, a working understanding of how organizations function, how processes fail, and what it takes to maintain quality across a team. He had also spent years building the scientific foundation — physics, mathematics, biology, organic chemistry, mechanical engineering — that would make graduate research in materials science accessible rather than intimidating.

The sale was not a retreat. It was a reallocation. The proceeds and the experience came with him. The obligation to run daily operations did not.

What That Background Transfers to the Lab

The skills developed in running an e-commerce company transfer to research in ways that are specific and practical, not merely metaphorical.

Process documentation is one. A business with 10 employees functions only if the processes that keep it running are documented, communicated, and consistently followed. A single operator can carry institutional knowledge in their head. A team cannot. The same logic applies to a research lab: experimental protocols must be written with sufficient precision that any qualified researcher can reproduce them, batch records must link fabrication conditions to biological outcomes, and procedural decisions must be traceable. Researchers who have operated businesses understand this requirement not as an abstract best practice but as something they have experienced the consequences of neglecting.

Decision-making under uncertainty is another. Experimental research, like business operations, produces ambiguous data constantly. Results that do not fit the expected pattern require a judgment call: is this noise, or is it signal? Should the protocol be adjusted, or should the condition be reproduced to confirm the result? Researchers trained only within academic environments sometimes struggle with this ambiguity because their prior experience with evaluation has always involved a correct answer. Operators who have run businesses have made consequential decisions with incomplete data for years. They are calibrated for it in ways that classroom training cannot replicate.

Team orientation is a third. Jadali’s experience managing employees who reported to him required him to think about how to communicate clearly, how to delegate effectively, and how to maintain standards across work he did not do himself. Those habits are directly relevant to collaborative research environments and, eventually, to the mentorship of junior lab members — a responsibility that falls on graduate researchers earlier than most expect.

The Six-Figure Exit as a Credibility Marker

A six-figure valuation for a business built by a student without institutional backing or external funding is a concrete outcome. It is not an award conferred by a selection committee or a grade assigned by a professor. It is a market-determined value placed on something that was built, operated, and ultimately sold at a defined price. That is a different kind of credential than an academic one — not superior to it, but not reducible to it either.

For Jadali, it establishes a track record of execution that runs parallel to his academic record. Together, they describe a person who can both develop deep technical knowledge and apply it in environments with real constraints, real uncertainty, and real consequences for getting things wrong.

That combination — demonstrated execution in an operational context combined with rigorous academic preparation in materials science and biomedical engineering — is not common in graduate research programs. It is the kind of background that shapes not just how a researcher works but how they think about the relationship between knowledge and application, between a finding in the lab and its eventual utility in the world.

What Comes After the Sale

Justin Jadali’s transition from e-commerce founder to Yale graduate researcher was not a pivot away from ambition. It was a continuation of it in a different medium. The problems he is now working on — engineering alginate microparticle systems to guide vascular self-assembly in three-dimensional tissue constructs — are harder than the problems of building and selling a business, in the sense that the correct approach is genuinely unknown and the experimental path to finding it is long, iterative, and often inconclusive in the short term.

What the business background gave him is the tolerance for that process. A researcher who has navigated the operational uncertainty of running a company, and who has made consequential decisions without the benefit of a clear answer, is prepared for the slower, more rigorous uncertainty of experimental science in a way that a researcher without that experience may not be.

The sale was a milestone. The work that followed it is what it made possible.

About Justin Jadali

Justin Jadali is a mechanical engineer and biomedical engineering researcher currently completing his M.S. in Mechanical Engineering and Materials Science at Yale University. He earned his B.S. in Mechanical Engineering from UCLA as part of the Class of 2025, following three Associate of Science degrees in Physics, Mathematics, and Natural Sciences from Irvine Valley College. At Yale, his research focuses on alginate microparticle fabrication, crosslinking systems, and the quantification of microvessel self-assembly in three-dimensional tissue constructs. He has hands-on experience in polymer processing, cell culture, and microscopy workflows, and has served as a teaching assistant for the Yale mechanical engineering capstone. He is also the founder of an e-commerce company that he grew to approximately 10 employees before selling at a six-figure valuation.