Editor's note: The following is the sixth profile in a series of articles about startup founders from non-technical backgrounds who have launched successful venture-backed companies. Read the previous interviews with MagicSchool AI founder Adeel Khan here, Trunk Tools founder Sarah Buchner here, Tabs founder Ali Hussain here, Craft founder Ilya Levtov here, and GC AI founder Cecilia Ziniti here. Abuzeid went on to co-found Incredible Health, a San Francisco-based healthcare hiring platform that has raised about $97.5 million from investors such as Andreessen Horowitz, Base10 Partners, Obvious Ventures, Precursor Ventures and NFX. It says its products are used by 1.5 million healthcare professionals ' including 1 in 2 U.S. nurses ' and 1,500 healthcare employers. Before launching Incredible Health in 2017, Abuzeid trained as a doctor, advised healthcare companies at Booz Allen and McKinsey, and worked as a product manager at a health tech startup, but didn't know how to code software. Originally from Sudan, Abuzeid was born and raised in Saudi Arabia and also lived in the United Arab Emirates. She moved to London at 18, where she completed her undergraduate education and medical school....

The Federal Laboratory Consortium (FLC) selected AI-GUIDE, a medical device developed by MIT Lincoln Laboratory and Massachusetts General Hospital (MGH), for its 2026 Excellence in Technology Transfer Award. This award recognizes federal laboratories and collaborators who have accomplished outstanding work in the process of transferring technology. With funding from the U.S. Army's Combat Casualty Care Research Program (CCC), Lincoln Laboratory and MGH developed AI-GUIDE and are in the process of transferring the prototype to the startup company AutonomUS Medical Technologies, Inc. "This recognition reflects what effective technology transfer looks like ' aligning the Army's operational need with Mass General's clinical expertise and Lincoln Laboratory's engineering capabilities to deliver a solution with a clear path to impact. The transition to AutonomUS underscores how strong partnerships can carry a technology from development into real-world adoption," says Asha Rajagopal, Lincoln Laboratory's chief technology transfer officer....

Picture a 50-person R&D organization that came late to AI. Now imagine 2 AI engineers at a competitor, each running a fleet of AI coding agents. On raw throughput, the two can already outpace the fifty. But the math understates their advantage. At two people, there is barely an organization available to slow them down: no management layer or product-manager handoff, no queue of teams waiting on one another. If they also have deep domain expertise and the right architecture underneath them, they are operating in full entrepreneur mode while the 50 stop at every junction. Hence, the Age of the One-Person Company. That scenario comes from 'The Agentic Awakening,' Liran Eshel and Adam Fisher's 2026 study for Bessemer Venture Partners of more than twenty engineering organizations. For anyone starting a company, it is the most important passage in the study. Because the asymmetry that has always favored startups, speed over mass, just widened by an order of magnitude. An incumbent still treats its codebase as a moat. To two engineers with AI agents, it's just an excellent spec. They can rebuild an equivalent product from it, then outbuild the company that wrote it....

Mathematicians can earn status in the field by solving previously unsolved problems. AI can do it too, arguably better than humans. This worries professional mathematicians for two reasons. One is the same thing that worries people in other professions such as programmers: If they are currently being paid to solve problems and AI can do it faster and cheaper they may no longer have jobs. The other is that mathematicians enjoy solving unsolved problems. Unsolved problems that can be solved by a sufficiently good mathematicians are a depletable resource being depleted by their AI competitors. This gets us to the question in my title: What are mathematicians paid for' Solving a problem nobody else has solved gets you status, a job, very likely tenure, possibly a cash prize, but why' One possible answer is that solutions to unsolved mathematical problems are so valuable that mathematicians who have produced one are rewarded for doing so, mathematicians who have not produced one are hired in the hope that they will....