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Hi everyone! I’m Antonio (Johns Hopkins MS in Applied Health Informatics).
I’m a Software Developer t at SAS working on EHR/HIE data pipelines (ETL/EDW, HL7/CCDs/ADTs) and analytics. I use SAS, Python, and SQL, and I’m currently gaining hands-on experience with OMOP phenotyping, cohort design, and data quality workflows. I’m here to learn from the community and contribute where I can.
Hi OHDSI Community! My name is Ryan Kilpatrick, and I am a neonatologist and clinical researcher at Tufts Medicine. I am interested in how EHR datasets can inform neonatal clinical trials and improve drug development, including methods for causal inference and the use of external controls in clinical trials. I am very excited about the role of OMOP and OHDSI in this space. I will be at the OHDSI Symposium this year, so please feel free to connect if you will be there too!
Hello OHDSI community! I’m Sarina Azimian. I’m a dentist and a health sciences informatics student at Johns Hopkins Medicine. I am very much interested in applying artificial intelligence into dentistry, observational studies helping to improve oral health and overall burden on patients and healthcare. I am a member of the OHDSI Dentistry WorkGroup and I would love to collaborate with this amazing community.
Hello everyone! My name is Yu-Yen Chen, and I am an ophthalmologist in Taiwan. I am studying for a master’s program in Applied Health Sciences Informatics. My clinical background is in caring for patients with eye diseases, and my research interests focus on applying health insurance databases to investigate the association between eye diseases and systemic diseases. Specifically, I am interested in how EHR-based data can be used to publish scientific papers on glaucoma and diabetic retinopathy in elderly patients. I will explore the OMOP Common Data Model and start OHDSI studies. Thank you!
Hi
I’m Pankaj Chejara, a Health Data Scientist at Metrosert (Estonia).
I enjoy working with data—especially processing and analysis—and see building practical tools that positively impact people’s lives as a central purpose. In my role I and my team support healthcare professionals, organizations, and health‑tech startups with ultimate goal of improving societal well‑being. To that end, we’re developing expertise in open health‑data standards and relevant technologies.
What I’m Here For
How I Hope to Contribute Someday
Quick note on collaboration
I’m keen to connect with others working on tooling, ETL/mapping to OMOP, cohort definitions, reproducible analytics, or implementation case studies — happy to help or collaborate on practical projects and code.
Greetings everyone.
I am Stanislas Tshilumba, Pharmacist-Epidemiologist, Freelance Researcher in Pharmaco-epidemiology.
I have practiced in various subfields of pharmacy:
• As wholesale pharmacist in charge of stock management and distribution of pharmaceuticals to retail pharmacies;
• As retail pharmacist in charge of stock management and dispensing of medicines to patients while advising about the medicines (effects expected, possible side effects, contraindications…);
• As sales representative pharmacist in charge of promoting medicines into the medical fraternity by way of seminars and one-on-one presentations mainly to medical doctors and pharmacists;
• As district pharmacist and chief pharmacist overseeing all activities related to pharmaceuticals at the district level and central hospital level respectively (procurement, storage, distribution, dispensing, rational use of medicines, human resources for pharmacy…).
With about 20 years of medicines management experience, I am determined to taking my career to the next level. I have a bachelor’s degree in pharmaceutical sciences (BPharm) and a master’s degree in public health (MPH).
I am particularly interested about safety and effectiveness of medicines considering their massive and widespread use. (I came up with an unpublished piece of work on “Effects of medicines: Intended effects and side effects”). I am passionate about pharmaco-epidemiology research with focus on medicines safety and effectiveness in real-world settings. Real-world data are needed to supplement results from randomized clinical trials.
My name is Angella Nabasirye, a Health Informatician and Software Developer from Uganda. I work with the Ministry of Health, leading digital health innovations that improve national laboratory systems and strengthen data-driven decision-making.
With a background in Health Informatics and Information Systems, my passion lies in using AI and machine learning to transform how health data is collected, analyzed, and used to improve care especially in low-resource settings.
I’ve had the privilege of contributing to Uganda’s digital health architecture, co-authoring an IEEE paper on NLP and large language models in DHIS2, which inspired my focus on global innovation.
I believe the future of healthcare depends on how well we connect data, people, and technology. And that’s the space I’m most excited to keep exploring building solutions that not only innovate, but also improve lives.
Thank you.
Hello everyone!
I am Anhye (Alexis) Kim, and I’m a clinical pharmacologist from South Korea. I’ll be spending the next year at Oxford university as a visiting researcher, working on real-world evidence and collaborative research.
As a clinical pharmacologist, I’ve worked on designing, conducting, and analyzing clinical trial data. My research interests include complementary approaches for trial design and outcome analysis, as well as drug and device safety monitoring - especially in specific populations-using real-world data.
I’m excited to learn more about patient-/population-level data utilisation, international networkd studies, and the broader OHDSI ecosystem. I hope to contribute by participating in ongoing studies, engaging with working groups, and eventually supporting clinical trials/pharmacovigilance projects as I become more experienced within the community.
I’m very happy to join OHDSI and look forward to meeting and collaborating with many of you!
Hello there, I’m Jesse from Australia. I’ve been working in data engineering, analytics and software development for about 15 years. After rolling off a 7-year fed gov contract in the revenue and compliance sectors I told people I would focus on my health - so here I am with ZERO health experience, 2 months into a new role and I just learned how to spell OMOP.
Currently a principal health insights analyst I’ve been mapping ACHI/ACS/ICD-10-AM codes to the CDM and building AI-powered matching workflows in Snowflake. I’m comfortable across the full stack: data engineering (SQL, Python, R), building dashboards and applications (React, Shiny, Streamlit), integrating across too many databases/technologies, and the infrastructure glue that holds it together.
I’ve published several R packages on CRAN, built production systems from scratch, and spent way too much time thinking about how to make data tools people actually want to use rather than tolerate. These days I’m particularly interested in the mapping and data quality side and the development and design of user interfaces I don’t need a PHD to use.
How I can help: Happy to contribute on the software/tooling side—whether that’s building utilities to make CDM mapping easier, helping others with implementation challenges, or just swapping war stories about getting clinical data to behave. Also keen to learn what the real blockers are for teams adopting OMOP and particularly interested in federated analytics architecture and provisioning research and study integration across different landscapes.
Looking forward to connecting with everyone.
Hello all!
My name is Noah DeLay, and I’m a public policy researcher focusing in Pharma and biostatistics. I believe that the OHDSI Community and the OMOP are essential for public health, and I am proud to join this community.
As a contributor, I am focused on leveraging AI and ML methods in bio-ETL and OMOP semantic conversion. Please reach out if these topics interest you!
All the best,
Noah
Hi all,
my name is Ksenia Astanina, I am a Senior Medical Affairs Scientist at Pfizer, but currently working on the transition into a RWE or Health Technology Assessment role. I strongly believe in the crucial role of RWE in the nearest future of healthcare.
I am a research scientist (molecular biology) by training and still love robust data and generating new knowledge. I have been wandering through the OHDSI resources for a few months already and it is so nice to see your dedication! Although not being a data scientist, I hope to be able to contribute to OHDSI. I see my possible role in the clinical interpretation of data, writing and network expanding.
Best regards,
Ksenia
Hi everyone,
My name is Abert Namanya from Uganda , and I’m a Data Engineer . I’m very happy to be part of this community. Currently, I serve as the ETL Lead for the OHDSI Africa Working Group .
I’m looking forward to interacting with everyone here, sharing knowledge, and learning from each other as we collaborate to advance our work.
Thank you.
Hi OHDSI community
My name is Sergio Bermudez from Spain. I am a Cloud Data Engineer and am studying for a Master’s in Bioinformatics this year (a personal intellectual decision to broaden my horizons 
).
The OHDSI and OMOP module in the master was a real discovery, so I started deep-diving into the documentation and attending some of the OHDSI virtual meetings.
In fact, my Master’s Project (to deliver in Sept’26) is around creating an “AI OMOP Agent” able to “SQL Generation to copy/paste in the user’s own databases” and “Concepts basic search.” The main target users in my mind are mostly OMOP non-experts (like me):
(Don’t hesitate to contact me if you want to test initial prototypes or to help me prioritize first needs)
In any case, still in the discovery phase 
and figuring out how to contribute to the community.
All the best,
Sergio
Hello community my name is Agaba Derrick, Iam Digital Health enthusiast, am very much interested in OMOP modules
I’m finding all the right ways to contribute to the community !
thanks
Hi @Sergio_Bermudez, this is a very useful idea.
Thinking of the same profiles, including researchers and general OMOP users, we developed the same tool some months ago:
You can test it at: ChatGPT - SQL generator OMOP-CDM.
We will present this custom ChatGPT, as a poster, at the OHDSI Europe Symposium next April 26’ in Rotterdam.
Thanks a lot. Wonderful tool. 
( I like a lot the Next Options section)
I will keep you updated. My focus is on providing the agent with internal tools/functions/RAG for pre-control checks to avoid hallucinations (Examples:
Validate the SQL in a real omop database before sharing the SQL, Double-check that when asking for specific concepts, the agent provides the correct ID from Athena source and not from the LLM hidden training set, etc.) Still working on the list of validators.
Hello all! My name is Robyn Boerma and I have worked in healthcare marketing for several years. I am very interested in wellness outcomes related to Menopause and Longevity. Learning more about OHDSI and how I can contribute to the community!
Thanks!
Hi everyone, I’m Judith Brand, working at the Uppsala Monitoring Centre (Sweden) in pharmacovigilance research focused on improving the detection and assessment of potential drug safety issues. Right now, our team is mapping large scale registry data to the CDM. I’m trained as an epidemiologist and have worked with various types of observational health data in different research settings. I’m happy to join the OHDSI community and contribute where I can.
Hi all, I’m Shingo Inoue, CTO at Yuimedi — a Japanese OMOP CDM ETL provider based in Tokyo. We also offer data-sharing services for pharma and are building an LLM-powered research tool for clinical researchers in Japan and the US.
Most of our work focuses on bridging Japanese healthcare data into the OHDSI ecosystem — ETL, JP-FHIR profiles, and vocabulary mapping for Japanese clinical codes. Last year we co-authored a paper on LLM-based RxNorm mapping for Japanese drug codes,
and we recently participated in the MindMeetsMachines Vocabulary Edition workshop as the Machine arm from Japan. It was a huge learning experience, and we’re eager to bring more of that back to the community.
I’d love to help by sharing what we learn at the intersection of Japanese healthcare standards and OHDSI tooling. On the technical side, I’d also like to contribute through our experience with LLM inference pipelines and based web app development as a JavaScript/TypeScript developer.
Outside of work, you’ll usually find me hiking in the Japanese mountains or building side-project apps. Thanks!
Welcome, @L_e_k_o !
It’s great to see more expertise joining from Japan, especially with your focus on JP-FHIR and the complexities of local vocabulary mapping. Your recent work on LLM-based RxNorm mapping is particularly impressive and highly relevant to the community’s current direction.
As we look toward strengthening the APAC network, I’d like to mention that we are hosting the 2026 OHDSI-APAC Symposium in Seoul this year, from November 13–15. @gaeunlee
We are really hoping to see a strong presence from the Japanese OHDSI community there.
Thank you again.