The Operator in the Room Where It Happens
Right now, somewhere in San Francisco, Lauren Green is probably in three conversations simultaneously - one about product strategy, one about investor relations, one about hiring - and she has already read everything she needs to be useful in all three. That's the job. Chief of Staff to the CEO at Medeloop, where the stated ambition is to rebuild clinical research from scratch using AI agents, and the unstated ambition is to do it faster than anyone expects.
Medeloop is not a modest company. Its AI platform can analyze clinical data up to 1,000 times faster than traditional research methods. It raised $15.5 million in Series A funding in November 2024, led by Inovia Capital, with backing from General Catalyst, Icon Ventures, Maven Ventures, and Healthier Capital. It serves researchers at institutions carrying more than $25 billion in combined net patient revenue. And Lauren Green is the Chief of Staff making sure the internal machinery of a 48-person startup moves as fast as the AI it's selling.
The Chief of Staff role is frequently misunderstood as a glorified scheduler. At a venture-backed AI company closing a Series A and scaling a platform across US and Canadian research institutions, it means something closer to: the person who knows everything happening across the organization, synthesizes it, and makes sure the CEO is spending their time on the things that matter most. Lauren Green does that.
Medeloop
AI agents for clinical research, real-world evidence, and healthcare data. Purpose-built to make medical discovery faster - from grant discovery to manuscript publication.
medeloop.ai →Medeloop AI vs. Traditional Clinical Research Speed
SOURCE: MEDELOOP PLATFORM CAPABILITIES — UP TO 1,000X FASTER
San Jose Kid to Stanford Swimmer to Startup Operator
Lauren Green grew up in San Jose - the geographic heart of Silicon Valley, where the ambient conversation is about startups, and the air pressure seems to shift whenever a term sheet gets signed. She chose Stanford as much for its swim program as for its academics. Both turned out to be world-class.
At Stanford, she studied Management Science and Engineering with a concentration in operations and analytics - a degree that sits deliberately at the intersection of systems thinking, quantitative methods, and organizational design. It's not exactly a soft major. It's also exactly the foundation you'd want for someone who would later be asked to understand how a startup works, where it's breaking, and what needs to happen next.
While working through that degree, she was also swimming competitively - 20+ hours a week as a member of the Stanford Cardinal women's swim team. She swam freestyle and butterfly. She helped her team win two NCAA Championships (2018, 2019) and three Pac-12 Championships (2018, 2019, 2020). She was a three-time All-American in relay events. She earned a CSCAA Scholar All-American designation in 2020. She appeared twice on the Pac-12 Academic Honor Roll.
She was valedictorian in high school. An Olympic Trials qualifier in the pool. A Management Science & Engineering major at Stanford. At some point you stop being surprised that she's good at multiple hard things at once.
Career context - based on public recordsBefore graduating from Stanford, she had already interned twice at PayPal - once in engineering program management, once in finance. After graduation, she joined PayPal full time as a Business Systems Analyst, supporting the Technology Platform Experience organization's portfolio, before stepping into a Business Operations Analyst role. It was hands-on exposure to how a large technology company manages complexity across engineering, finance, and operations - exactly the muscle memory useful when you're building those systems from scratch at a startup.
Then came Medeloop. Founded by Rene Caissie - a trained maxillofacial surgeon, published researcher, and Stanford Adjunct Professor - the company was built on a clear premise: medical research is broken. It takes too long. It requires too many people. The data is fragmented. The tools are inadequate. Medeloop's answer was to build autonomous AI agents that could ingest, harmonize, and analyze multimodal research data - from EHRs to wearables to multi-omics - and turn weeks of analysis into minutes.
Lauren Green joined as Chief of Staff to the CEO. In a company where the technical complexity is genuinely high and the mission is to change how medicine generates its own evidence, the Chief of Staff role is not administrative. It's operational strategy - keeping the organization coherent while the product, team, and market evolve simultaneously.
Stanford Cardinal - Personal Bests
Source: Stanford Cardinal Athletics
The Record Book
3x All-American
NCAA Division I All-American in relay events at Stanford. Three separate designations.
2x NCAA Champion
Member of Stanford NCAA championship teams in 2018 and 2019.
3x Pac-12 Champion
Three Pac-12 championship rings with Stanford (2018, 2019, 2020).
Scholar All-American
2020 CSCAA Scholar All-American. Two-time Pac-12 Academic Honor Roll.
Stanford MS&E Graduate
B.S. Management Science and Engineering, operations and analytics concentration, 2021.
Olympic Trials Qualifier
Qualified for US Olympic Trials in swimming while still in high school.
What It Means to Rebuild Clinical Research
The problem Medeloop is solving is genuinely large. Medical research moves slowly - not because researchers are lazy, but because the infrastructure underneath it is fragmented and manual. Data lives in different systems. Analysis requires specialized teams. Grant applications are time-consuming. The gap between a research question and a publishable answer can be measured in years.
Medeloop's platform addresses the full research lifecycle. Its Analytics product ingests and harmonizes data from EHRs, wearables, multi-omics, and institutional datasets, builds a knowledge graph, and lets researchers query it conversationally - getting statistical analyses in minutes rather than weeks. Its EvidenceKit pairs that with all-payer claims data. Its Grants product integrates into ChatGPT for grant discovery and proposal writing. Its Studies product handles participant recruitment, monitoring, and data collection. Its Care product brings AI clinical summaries and next-best-action recommendations to population health teams.
The platform is backed by a Scientific Advisory Board that includes former JAMA Editor-in-Chief Howard Bauchner, Duke-Margolis health policy leader Mark McClellan, and Johns Hopkins NLP expert Mark Dredze. The investors include Inovia Capital, General Catalyst, Icon Ventures, Maven Ventures, and Healthier Capital.
Faster Than Traditional Methods
Medeloop's AI research agent can perform clinical analyses that would take traditional research teams weeks - in minutes. Lauren Green runs the operations team making that scale possible.
Career Arc
The Athlete's Edge in Operations
A 22.46 fifty-meter freestyle doesn't happen without years of training your body and mind to perform under competition pressure. A Division I swimmer training 20+ hours a week while studying Management Science and Engineering at Stanford is not optimizing for one thing - she's training herself to operate under load, across domains, simultaneously. That's a specific kind of person.
It's also exactly what the Chief of Staff role at a venture-backed startup demands. The job is not to be the expert in any one area - it's to hold the map of the whole territory in your head while everyone else is heads-down in their lane. Lauren Green spent four years at Stanford doing something very similar: competing at the highest level in the water while running a demanding engineering curriculum, serving as a team leader, and volunteering as a Special Olympics swim coach.
The pattern is consistent. Valedictorian in high school. Olympic Trials qualifier. Scholar All-American. A Stanford degree in a field that trains people to understand complex systems. A stint at PayPal learning how enterprise operations actually work at scale. Then: join a 48-person startup trying to change how medicine generates evidence, and help make sure it doesn't fall apart under the pressure of its own ambition.
There is a version of this story where Lauren Green would have gone to a consulting firm or a hedge fund or another big tech company. That version is less interesting. Instead, she's at Medeloop, where the mission is measurably harder and the potential to actually change clinical research - which changes medicine, which changes how long people live - is genuinely real.