I'm open to research collaborations, consulting engagements, speaking opportunities, and media inquiries – across digital epidemiology, pharmacovigilance, geospatial AI, legal epidemiology, and public health policy. If the work has real decision impact, I want to hear about it.
The most direct route is email. I respond to every substantive inquiry personally – I don't use a contact management system or a team inbox. If you're reaching out about research collaboration, consulting, speaking, or media commentary, include a one-sentence description of the project or opportunity and I'll respond with a clear yes, no, or next step.
akshaya.bhagavathula@gmail.com →I take on a limited number of external collaborations each year to maintain the quality of the work. These are the areas where I'm most likely to say yes – and where the collaboration has the best chance of producing something genuinely useful.
Co-authorship on epidemiologic studies, methods consulting for AI health research, and co-investigator roles on grant-funded projects in digital epi, pharmacovigilance, and health equity.
Building AI-enabled health dashboards, live drug safety monitoring tools, infodemiology pipelines, and geospatial access surveillance platforms with real decision-impact.
County- and tract-level access gap mapping, harm reduction coverage analysis, climate-health exposure modeling, and Digital Twin infrastructure planning for health systems.
Quantitative analysis of how laws affect population health outcomes – particularly state-level opioid policy, naloxone access mandates, and Good Samaritan statute effects on overdose mortality.
Conference keynotes, expert panel commentary, media interviews, and podcast appearances on digital epidemiology, AI safety in clinical research, pharmacovigilance, and public health evidence translation.
Analytical support for public health departments, Medicaid agencies, health systems, and NGOs on surveillance infrastructure, evidence translation, and equity-focused resource allocation.
If your question isn't answered here, just email directly – I'll give you a straight answer.
I focus on work where rigorous epidemiologic methods meet AI-enabled analytics and real decision impact. That means surveillance platforms, access gap analysis, pharmacovigilance signal work, infodemiology pipelines, legal epi policy evaluations, and GBD-linked disease burden studies. I don't take on projects that are primarily about producing academic output without a clear pathway to policy or clinical use.
Yes – this is one of my preferred collaboration models. I'm open to co-investigator and methods consultant roles on NIH, CDC, PCORI, and foundation-funded grants, particularly in digital epidemiology, pharmacoepidemiology, substance use surveillance, legal epidemiology, and health equity. I bring both analytical expertise and a track record of producing findings that reach decision-makers.
Yes. I've provided expert commentary to BBC News, Scientific American, Medscape, JMIR, U.S. News, Clinical Leader, and others. I respond to media requests quickly – include your outlet, deadline, and topic in the email and I'll confirm availability within a few hours on business days.
Yes. I'm available for consulting engagements with public health departments, Medicaid agencies, health systems, and policy-focused NGOs. Typical engagements include surveillance infrastructure design, AI evidence review, geospatial access analysis, and translating existing research into formats usable by non-academic decision-makers.
Email with a one-sentence description of the project and what you need from me. I'll respond personally with a clear yes, no, or "let's talk" – usually within 48 hours. If it's a fit, I'll suggest a 20-minute call to assess scope. I don't use an intake form or scheduling system; a direct email is always the fastest path.
Yes – I actively mentor early-career researchers in digital epidemiology and public health data science. If you're a graduate student or postdoc working on methods-driven population health research, I'm happy to connect. Be specific about what you're working on and what kind of input would be most useful – a methods question, a career discussion, or a formal mentoring relationship.