Senan Ebrahim left a computational neuroscience lab to build Delfina, an AI maternal-health company aimed at one of the widest gaps in medicine. A preventable loss set the course.
The problem Senan Ebrahim decided to spend his life on did not come from a spreadsheet or a market-size chart. It came from a delivery room, and from a loss that did not have to happen. He was an MD-PhD student, deep in a lab that used machine learning to forecast epileptic seizures, when he witnessed a preventable stillbirth. The math he was learning could see patterns coming. The system around that pregnancy could not. He never fully let go of the gap between those two things.
Today Ebrahim is the founder and CEO of Delfina, a San Francisco company that uses data science and AI to make pregnancy safer. In January 2025 the company closed a $17 million Series A led by U.S. Venture Partners, with the Mayo Clinic, ARTIS Ventures, Tokio Marine Future Fund, and Chelsea Clinton's Metrodora Ventures joining the round. Around the same time, an industry panel named Delfina the best maternal-health platform of the year. It is a lot of validation for an idea that started as a question nobody in that delivery room could answer.
Ebrahim grew up in San Jose, California, the child of immigrants - his family came from Syria and Pakistan. He went east to Harvard for college and found neuroscience, but he did not stay only in the lab. Students elected him president of the Harvard College student body, a role built more on listening than on code. Between degrees he took a Trustman Fellowship to Peru to study Andean ethnomedicine, spending time with how other cultures understand and deliver care. It is an unusual line on the resume of a machine-learning researcher, and it hints at how he thinks: technology is one tool among many, and the people it serves come first.
He went on to the joint Harvard/MIT program, earning an MD and a PhD in computational neuroscience. His doctoral work applied machine learning to predict seizures - to catch a dangerous event before it arrives. A 2013 Paul & Daisy Soros Fellowship, given to immigrants and their children doing graduate work, helped fund the road through both degrees.
Before Delfina had a cap table, Ebrahim built Hikma Health, a nonprofit that provides a free health-data platform for refugee, migrant, and low-income patients so they and their doctors can manage care together. The order matters. He did not start with venture capital and work backward to a mission. He started with the patients the system tends to overlook, and the software followed. That instinct - put good data in the hands of people who usually go without it - is the same one that runs through Delfina.
The elegant part of Ebrahim's story is how little he had to reinvent. Predicting a seizure and predicting a pregnancy complication are, at a technical level, cousins: both ask a model to watch a stream of signals and flag risk before it becomes an emergency. Delfina's platform pairs predictive analytics with tailored interventions and a closed loop of data between a patient and their prenatal provider. The aim is proactive care instead of the reactive kind - reaching a patient before the crisis, not during it.
He is careful to frame it as help for care teams, not a replacement for them. Describing work with providers in Texas, where Delfina partnered with Blue Cross and Blue Shield of Texas, he said the system "empowers diverse pregnant patients and their care teams with proactive and personalized care." The doctor stays in the loop. The data just gets there sooner.
Ebrahim talks about bringing intelligent pregnancy care to every pregnant patient in the US and worldwide by 2030. Set against the scale of the maternal-health gap he describes, it is an audacious number, and he knows it. But the ambition is not free-floating. It is anchored to a specific belief he keeps returning to: that in maternal health, the distance between the care people receive and the care that is technically possible is unusually, unacceptably wide. Close that gap, and the outcomes follow.
For all the density of his resume - two Harvard degrees, a doctorate, two companies - the picture people around him describe is not of a workaholic hunched over a keyboard. He surfs. He swims. He hikes with his son. There is a straight line from the founder who studied ethnomedicine in the Andes to the one who takes his kid up a trail: a person interested in the world beyond the model, who happens to be very good at the model.
What holds the story together is that origin moment. A seizure researcher does not usually end up in maternal health. Ebrahim got there because he could not accept the gap he saw once and decided to spend a decade closing it. The credentials help. The funding helps. But the reason Delfina exists is simpler and harder to fake: he watched something preventable happen, and he refused to look away.