I'm Vihasa Govada, a psychiatrist expanding from clinical practice to systems-level impact. I'm building expertise at the intersection of AI safety, effective altruism, and healthcare systems to address challenges that scale beyond individuals.
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Understand why I'm moving from individual care to systems-level impact
See my training and projects chronologically
Get to know me beyond the credentials
See what I've built and learned
You might be wondering: why is a psychiatrist trying to break into AI safety and healthcare systems work? Fair question. I don't have a CS PhD or years of EA experience. What I do have is a track record of identifying systems-level problems and building solutions that work. I co-led the organizing effort that unionized 3,000 residents across 6 hospitals. I taught myself design software and published a 61-page yearbook in 2 months. I created a podcast from scratch with zero audio experience. The pattern: I learn what I need to execute, and I ship. That's the capability I'm bringing to this work.
I practice psychiatry part-time, which keeps me grounded in the problems I'm trying to solve at scale. Clinical work taught me that the hardest challenges are not medical. They are about systems, incentives, and coordination.
In residency, I watched excellent clinicians spend hours fighting systems that made good care harder. The problem was not lack of skill or effort. It was structural. That is when I realized some problems cannot be solved one patient at a time.
Four years of residency taught me:
Over the years, I kept gravitating toward work that reached people at scale. Organizing residents across hospitals. Building STEM programs for 100+ girls. Creating a podcast that could help thousands of residents navigate challenges, rather than advising people one by one.
Clinical work is important. Patients need this care and they do change. But it felt smaller-scale than the kind of impact I wanted to make.
I had briefly encountered effective altruism years ago. This time, I dove in: attending conferences, meeting people, reading extensively about strategic impact and cause prioritization.
EA gave me language for what I had been feeling intuitively. Three principles resonated deeply and now guide my thinking:
I'm newer to the EA community but deeply committed to its principles.
I build solutions by identifying problems, rallying people, and shipping something real. My track record includes projects that required learning new skills from scratch and coordinating people around shared goals.
Major projects taught me I am most effective when working on problems that require coalition building, technical learning, being strategic, and execution:
Co-led Philadelphia's first city-wide resident unionization. Grew organizing committee from 3 to 50+ members, galvanized 1,000-person bargaining unit. Result: 552-73 victory.
Created 6-episode podcast on resident wellness. Self-taught audio production and managed everything from guest interviews to distribution across platforms.
Presented 45-minute research synthesis to 100+ clinicians, reframing loneliness as a systems problem requiring structural interventions.
Self-taught Adobe InDesign and published 61-page yearbook in 2 months. Coordinated logistics with 3 people, delivered 200+ copies. Volunteer project.
Built programs reaching 100+ middle school girls. Co-organized Capstone event with 200 participants, led summer camp, secured funding and partnerships.
Self-taught coding for AI safety work. Built web automation (Node.js), compression algorithms (Java), text generation (Java), and healthcare website (HTML/CSS/JS).
The pattern across all these: I thrive when building solutions to systemic problems, not just responding to individual cases. I learn what I need to execute, coordinate people with different expertise, and ship something that works.
I'm drawn to roles that involve strategic thinking, program building, stakeholder coordination, and execution to create visible impact at scale. I want work where I can see what I built and know it's making a difference. So, over the past few months, I've been building foundation in this space:
A chronological view of my training and key projects. For more detail and context, see the other pages.
B.S. in Biology, cum laude | Minor in Chemistry
Key Projects:
Doctor of Medicine
Gold Humanism Honor Society (2020) | Ticho Prize of Psychiatry (2020)
Key Projects:
Psychiatry Residency Training
Major Projects:
Recognition: Recognized in residency by Gold Humanism Honor Society as resident who made greatest impact on medical students (2023)
Clinical Work:
EA Engagement:
Technical Projects:
Currently: Actively exploring roles in AI governance, clinical informatics, and EA strategy and operations
I split my time between clinical psychiatry and building towards systems-level change. I am drawn to problems at the intersection of evidence, ethics, and impact: AI safety, healthcare systems, long-term thinking about technology and human wellbeing.
I taught myself audio production to make a podcast. I had never organized a union but figured it out. I taught myself Adobe InDesign to publish a yearbook in 2 months. When I see a problem worth solving, I learn whatever skills are needed and ship something.
Clinical training taught me how institutions make decisions, how systems can harm even with good intentions, and why individual excellence is not enough to fix broken incentives. I cannot unsee this now.
Effective altruism gave me language for what I felt intuitively: impact requires evidence, prioritization, and long-term thinking. I'm newer to the EA community but deeply committed to its principles.
Most people working on AI safety are not trained in human cognition and behavior. Most physicians are not required to have technical skills. Most people building healthcare systems are not thinking about EA impact.
I sit at the intersection. I can translate between clinical medicine and technology, understand how healthcare institutions actually make decisions, and apply EA principles to problems that need both medical insight and systems thinking.
The value I bring is not that I am the best at any single thing. It is that this specific combination of skills is rare, and some problems need exactly this unusual background to solve them well.
Currently learning: AI safety and alignment research, exploring governance frameworks, building technical fluency in areas relevant to high-impact work
Interests: Rock climbing, tennis, origami, indoor plants, Korean dramas
Languages: Fluent in Telugu
These projects showcase my capacity and propensity for systems-level work, with technical problem-solving, stakeholder coordination, research synthesis, and shipping solutions from 0 → 1. Each taught me to identify leverage points, build coalitions, and execute under constraints.