Welcome to OHDSI! - Please introduce yourself

General
1002

Hi Everyone,

I am Madhur Thakur, a graduate student at the University of Minnesota, pursuing MS in Health Informatics. I have done analytical research work on patient portal use, and implementation of glucose monitoring devices at health centers. I am learning about OHDSI to improve my research work and join a community of fellow researchers.

1003

Hi everyone!

I’m Rory Popert and I’m currently co-founder of a startup called Unison. We’ve developed a middleware data federation technology with novel harmonisation and workflow execution features, reducing the need for transformation of data locally to achieve interoperability and controlling for differences in storage and compute efficiency across different infrastructures.

I’m familiar with the OHDSI community through some of the excellent webinars and my work with some of its partners, and from my previous role as tech lead for research at Genomics England. I led ~12 teams and ~100 engineers, ml engineers, bioinformaticians etc. to develop the full stack to enable analysis of GEL’s deep phenotype and multi-modal data from ~140k participants.

I’d like to contribute to the OHDSI community when / where I can add value, and also collaborate with members to address some of the pain points associated with data federation and data heterogeneity.

I’m looking forward to meeting many of you at the Global Symposium in October.

Thank you!

1004

Hi all,

I think this is a great idea to start in the community! I’m Alisson Licona, a Data Engineer at Traverse Health. I have a background in Biomedical Engineering and Digital Health and I’m in charge of the OMOP ETL process. Our focus is to leverage data from different sources to conduct observational and statistical studies.

Working with various sources (and languages) makes it difficult to plan the projects effectively, so we chose OMOP CDM to store our data and improve the outcomes. OHDSI represents a reliable standard for generating high-quality and reproducible real-world evidence. But there’s always room for improvement, so I would like to be proficient in OHDSI tools and contribute to their enhancement, especially when it comes to Natural Language Processing and non-English sources.

Apart from my job, I’m doing a Master’s in Data Science and Health Data Analytics (between Spain and Germany), so it’s right to say I love working with data and applying any knowledge I have to help health practitioners make impactful decisions.

Lastly, in my little free time, I like to read magical realism and discover new music.

I look forward to meeting many of you and collaborating in all I can.

Cheers!

1005

Hi everyone!
I am a nephrologist and epidemiologist at Stanford University and work on kidney outcomes in cancer patients on various cancer therapies. We are hoping to soon execute a network study. Excited to learn from this group!
Susan Ziolkowski

3 Likes
1006

Hi all,

I’m a doctoral student in Munich, and focus on developing tools hopefully useful for creating insights from health data in Python, where a highly active Machine Learning and Deep Learning community is thriving.

Very excited about OHDSI and all the things it enables researchers to do! Sharing the love for open science
Strive to integrate the OMOP CDM in the things we do, and learn much more about OHDSI! :slight_smile:

On Github

1007

Hi everyone! I am the informatics analyst for the University Health Transplant Institute. I have an MS in health, community, and policy, focusing in health data analytics. Our program is new to OHDSI but we are very excited to have access to this tool! I hope we can contribute to research and would love to connect with others interested in transplant or in general! :slight_smile:

Thanks!

1008

Hi all,
I am a data analyst with the Manitoba Centre for Health Policy. We are a part of a team across several Canadian provinces exploring OMOP with our data. Happy to learn and contribute to this group!

2 Likes
1009

Welcome to OHDSI, @lisaflaten :slight_smile:

1010

Here is the link to the Getting Started office hours starting Monday, November 25th at 10am Eastern Time: https://teams.microsoft.com/l/meetup-join/19%3Ameeting_OTY1MTc2MjMtNjg2Ny00MWY0LTgyODgtZjg2YmNiZjJjNDMz%40thread.v2/0?context={"Tid"%3A"a30f0094-9120-4aab-ba4c-e5509023b2d5"%2C"Oid"%3A"0cfa2d30-6465-40b2-8158-a24d46c7b415"}

1011

Hello everyone,

I’m Junaid Imam from NYC. We have been using OMOP at work and i wanted to get more adept at using it. Glad to be a part of this community. Thankyou

1012

Hi all!

I hope you all had a nice holiday season! My name is Isidoro Gutiérrez-Álvarez. Even though my background is as a physicist, right now I’m a data scientist with the Fundación Progreso y Salud, in Andalucía, Spain. Among other things, we are doing research using data from the Public Health System in Andalucía.

We are currently trying to implement an OMOP ETL for our data. Since original data cannot be shared, for obvious reasons, we want to at least be able to share the code to perform our research. The OMOP CDM seemed like the obvious choice for standardizing the data input, enabling us to publish our findings.

I have to say that you have done an amazing work with all the documentation about OMOP and how to implement it. We are writing our ETL using mostly python, so we have not been able to use some of the OHDSI tools, but all that info has made the design of the ETL way easier than we previously thought.

I’ve learned a lot in the past months and would love to share our experiences with OMOP implementations and help wherever I can. Looking forward to staying in touch and perhaps working together in the future!

Cheers!

1013

Hi everyone! My name is Kenny Ta, and I am a second-year medical student at the University of Minnesota Medical School. I am currently working under the mentorship of Dr. Robert P. Dellavalle, the Professor and Chair of Dermatology at the University of Minnesota. Our primary focus is on advancing real-world evidence in dermatology through the analysis of observational healthcare data.

Current Project

I am deeply interested in leveraging data to understand prescribing patterns, treatment disparities, and clinical outcomes for dermatological conditions.

My current project examines the real-world prescribing patterns of Skyrizi (risankizumab) for plaque psoriasis and psoriatic arthritis using the OMOP Common Data Model. This study aims to identify factors influencing prescribing habits, assess disparities, and inform clinical practice.

We are currently developing a protocol to share for anyone who’s interested!

How I’d Like to Help:

I’m excited to contribute to the OHDSI community by:

• Running studies that address critical questions in dermatology and related fields.
• Collaborating with researchers to publish findings in high-impact journals.
• Learning and applying OHDSI tools like ATLAS for cohort building and R for statistical analysis.
• Sharing my insights and experiences to support other researchers and students entering the field.

I’m grateful to be part of this community and look forward to connecting, learning, and contributing!

1014

Hi OHDSI Community, I’m Ron.

Currently working on, and very proud of an FHIR based SDOH solution with the BrightStreet Group that put together for the State of Michigan and iterating on it after a couple of years of regional implementation.

Labels

If I were a Kubernetes Pod, Id label myself like so:

apiVersion: v1
kind: Pod
metadata:
  name: ron-sweeney
  labels:
    kubernetes: true
    fhir: true
    identity: true
  spec:
    communities:
      - eBPF
      - FHIR (RWD, SOA, SDC)
      - CNCF
      - InterSystems Community
      - OHDSI # Aspiring

I will refrain to disclose the age of said running pod…

Contribution Interest

I am interested in contributing to this community as an Implementer, with a particular starting point of contributing to the Helm Chart for Broadsea and maintenance… I feel helm / kubernetes for local and professional deployment is a place to contribute to that speeds local onboarding faster than docker/containers and scales to professional deployment.

I Gotta Say…

I learned within the last 5 years the best way to define my career would be the involvement of the communities around the workloads that I support and not the acronym salad or even companies around them. I have approached them with a diligence and gotten so much in return. Having dabbled around the CDM for many years, I failed to take a deeper look inside until late last year and when I read the Book of OHDSI on a flight and crawled in to take a look at the ecosystem going on in here and was blown away by how much technical trouble I could get into… so do not try as they say to be a part of this community.

Hobbies

I currently dabble on a Databricks Workload for my Truck.

Looking forward to the busy signal around this community…

1 Like
1015

Hello,

My name is Julia, and I recently began my role as a data scientist at J&J Innovative Medicine. Prior to this position, I was pursuing a PhD in Epidemiology and Public Health at both São Paulo University and Universidad Miguel Hernández. Throughout my academic journey, I was involved in a birth cohort study, which sparked my interest in causal inference and identifying risk factors. I am genuinely excited to be a member of the OHDSI community. Currently, my objective is to leverage the CDM to develop phenotypes that can facilitate the generation of Real-World Evidence, while also finding ways to make meaningful contributions to the OHDSI community. Thank you :slight_smile:

1016

Hi everyone!

I’m excited to join this vibrant and innovative community and contribute to the important work being done in healthcare data science and analytics.

My name is Muhammad Waseem, and I’m a Technical Consultant at Traverse Health with over 23 years of experience in software engineering, specializing in large-scale, business-critical systems. With 8 years of dedicated experience in managing and implementing Electronic Health Record (EHR) systems

Over the past 5 years, I’ve been leveraging InterSystems IRIS for Health to drive FHIR development, HL7 integrations, and Cache development.

While I’m new to the OMOP Common Data Model, I’m eager to learn and collaborate with this community to explore its potential for advancing healthcare data standardization and analytics. I look forward to connecting with like-minded professionals and contributing to the impactful work being done here.

Please feel free to reach out if you’d like to connect or collaborate—I’m always open to new opportunities to learn and grow!

Thanks,
Muhammad Waseem

1017

Hello!

I am a Data Architect at Norton Healthcare and we are starting our OMOP journey. We are an Epic customer and based on some of the posts I’ve read, we are in good company. I’m looking to get involved in implementer and builder discussions to learn best practice. If you have any advice on where to start, I’m all ears.

1018

Hello @wtenney and welcome to OHDSI!

First, join the OHDSI MS Teams tenant here. While you’re there, sign up for the Health Systems Interest Group and any other working groups. On Monday, March 17th, join the Getting Started Office hours at 10am EDT. It is important to join the meeting from the login you used when signing up for OHDSI MS Teams. Otherwise, you won’t be able to see the chat. And people are always dropping important information and links in the chat.