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Hello!
Mitch Maltenfort here, a very new hire at Children’s Hospital of Philadelphia. I’m an R user with interests in risk models and longitudinal studies. I know just enough to be publishable and/or dangerous and would like to learn more. My first exposure to OMOP was seeing Madigan’s description of how much results can vary based on which database was used and exactly how it was analyzed.
Hello,
I am Mark Anikst, a member of the R&D Group at Nanthealth. I have started using OHDSI tools to perform analytics for clinical trial outcomes, and am interested in keeping current on the evolution of these tools and methods they implement.
Hello,
I am Sagar K. I have started working as a Pharmacy Benefits Management analyst. I am pretty new to this field and on a learning curve of PBM. As I will start getting some understanding of the field, I will start contributing to OHDSI.
Thanks & Cheers,
Sagar
Hello Everyone,
We are Brainpan Innovations, a healthcare company for emerging markets that promises transition from prescriptive to preventative healthcare. We aim to bridge the gaps between life sciences and computing for developing economies. We are primarily focused towards Electronic Health Records, Medical Imaging, Pediatric Healthcare, and Epidemiology.
We are currently working with private practitioners, polyclinics, private and government hospitals in India. Our vision is to create a healthier and a better world.
We are extremely excited to join this journey as we understand the tremendous unrealized potential of health data and its impact on healthcare.
We heard about OHDSI from George Hripcsak and Sharon Sputz. It’s a great opportunity for us to collaborate and be a part of this noble journey. We hope to join the journey of ODHSI, and look forward to meeting you all.
Sincerely,
Abhijit Das
Hello everyone,
I am Mindy Tai, manger at global health economics team with Amgen.
I have a BS in Pharmacy back in my home country Taiwan and recently graduated from the University of Maryland School of Pharmacy – major in pharmacoepidemiology. I have many years experiences in large database analyses and strong interest in observational research. Very excited to join this community!
Best,
Mindy
Hello everyone,
I’m Fred Rahmanian. I currently serve as the CTO for a healthcare analytic company in the US. We are a wholly own subsidiary of a payor in US. I’m a longtime software architect and, for the last few years, data scientist. I love working with anything data and healthcare related. I was very excited to find out about OHSDI. At this time, my interesting for participating is purely for personal interest. During that past few years, I’ve had the rare opportunity to work with some very large healthcare-related datasets. I hope to improve on my experiences by participating here.
Looking forward to learning from and working with all of you,
Fred
please do… my mother suffers from rheumatoid arthritis…
Hi everyone.
I’m Tom Wilson, I recently joined ASCO CancerLinQ as lead software engineer. I started in health data at Stanford in 2001 (before that I was building enterprise web applications), worked at Axolotl HIE And OptumInsight and most recently Philips Healthcare as part of the team building the HealthSuite Digital Platform. At CancerLinQ I’ll be working with the OHDSI common data model and other tools to provide deep learning for oncology practices. I’m just getting started here but really excited about the work ahead and getting to know the the community.
Hi Maura and everyone, my name is Feifan Liu, just started a new job at university of massachusetts medical school as an assistant professor. My background is natural language processing and am interested in how to apply novel NLP approaches on EHR data for next generation clinical decision support system.
I am new to OHDSI and CDM, and like to have an opportunity to first contribute on some existing research study. Hope to be more OHDSI-ed in an innovative way. 
Hello. I’m Steph van Schalkwyk. I specialize in enterprise search engines (SOLR, ElasticSearch, Lucene, SharePoint and all versions of FAST), NLP and ML. I am particularly interested in simplifying access to medical and pharmaceutical data repositories, extracting latent features and performing ML on these repositories.
My interest at this time is commercial, and I undertake to make code and findings available to the community.
Hi there,
My name is Catherine Kerr and I work for ICON, a clinical research organization based in Dublin, Ireland.
I am working with @ColinOrr on the design and development of a technology platform for a global benchmarking initiative that ICON is conducting as a partner of the ICHOM consortium (ichom.org). This platform is intended to capture data related to patient outcomes for all of the diseases that have been defined in “standard sets” by ICHOM. Much of this data is patient-reported, as per ICHOM’s mission. The proposal is to use the OMOP CDM as a repository for the data. My role is a Business Analyst on this project and I have a software development and data science background, but limited experience in the healthcare sector. I am sure I will have questions that the community can help me with as we move forward 
Greetings,
I am Markeese Robinson and I work at a Federally Qualified Community Health Center located in Jackson, Mississippi.
I need help with the OMOP conversion tools that are listed on the OHDSI website.
We would also like to understand the process to convert the EHR data to the OMOP format.
I look forward to hearing from you. Thank you in advance for any assistance that you can offer.
Hello everyone,
I’m Seongmin Choi and I currently work as a bioinformatician in Seoul National University Hospital, in Seoul, South Korea.
My ultimate goal in joining the OHDSI network is to use and develop the pipelines and methods of OHDSI.
But as of now, I think I first must follow-up the codes and reproduce some data to get accustomed to the system.
By the way, thank you, Ryan, Martijn and Marc, for your welcoming talks in the OHDSI symposium in Ajou University. 
Hello Markeese
I’m an OHDSI collaborator at the University of Colorado, and have a network of FQHCs that use OMOP, and we’ve done a lot of work with source to OMOP conversion and created some software to assist FQHCs. Maybe we can chat sometime soon. My work email is lisa.schilling@ucdenver.edu. Best, Lisa
Hi Everyone,
I’m a doctoral candidate at the National University of Singapore. And I am delighted to join this community to learn and to contribute to the benefits of public health. My research areas are situated in health analytics, shared decision making, patient decision aid, and mHealth / eHealth. I am hardcore in R & Java Programming, Natural Language Processing (NLP), Statistical Packages, or even CUDA. Besides, I have some experience with RCT and EMR.
I would like to join the OHDSI to be a part of open source initiatives and to write codes for meaningful purposes.
Thanks and looking forward to devoting to this community development.
Best regards,
Harry Nguyen
Hi everybody
I’m Yu Rang Park.
I’m a professor of Health Innovation Bigdata Center (Bigdata Center) and IT director of the Clinical Trial Center at Asan Medical Center,Seoul, South Korea.
Asan Medical Center is one of the tertiary hospitals with which has 2,714 beds and 11,380 outpatients per day.
I’m a data scientist with background in data mining and statistics with a focus on predictive modeling and natural language processing of narrative text in clinical chart. I am also interested in developing algorithms to streamline IT or data-based clinical trials.
Our Bigdata center and I are in the process of converting Asan Medical Center EMR data to OMOP CDM, and we hope that the community will be able to help with the various problems that arise during this process.
I think OHDSI is the only one community in the world that can create next-generation clinical research involving individual researchers, institutions and hospitals around the world.
I am so glad to know this community and I want to contribute a lot in the future.
Sincerely,
Yu Rang Park
Hello everyone,
I am Erwin Böttinger, CEO of the Berlin Institute of Health (BIH) and PI of a research
consortium (“Health Data for Care and Research” – HD4CR) that aims to efficiently
interlink health care, biomedical and research data to improve patient care and
medical research in the long run. The ultimate goal is an interoperable and
interlinked digital health and research basis enabling value-based,
personalized healthcare.
As to OHDSI, my main interest is in the (professional) exchange of information and ideas
in the OHDSI-community. I am excited to see, how our consortium can contribute to
OHDSI and vice versa, how our undertakings can contribute to the goals of the OHDSI
program.
Hi, I’m Renee Taylor, a consultant at the California Department of Health Care Services, now working on an OMOP CDM mapping from T-MSIS. Has anyone else done this, just in case :)?
My background is enterprise data modelling and enterprise architecture, including Medicaid Information Technology Architecture work (the CMS framework).
Glad to join you!
Hi, Jim! So glad to discover you in this community. I’d love to hear more about your population health study and how you’re using (or if you’re using) OMOP. P.S. If you’re heading to Orlando for SGF in April, we should connect. But no scary rides this time. 
I am John Evenden, the Director of Science for Cambridge Cognition. I am a psychologist by training, and have experience with designing computerised neuropsychological tests. I heard a talk by Patrick Ryan at the recent ISCTM meeting, and it struck me that the databases accessible through OHDSI might contain the information that would help map out the prevalence of clinically-relevant cognitive problems reported by patients themselves, and the way they change during the course of disease and in response to treatments. For example, our experience suggests that the wrong mix of patients is being recruited to trials of pro-cognitive drugs in disease like schizophrenia, depression and ADHD, which may contribute to the high failure rate of clinical trials in this area. We are also often asked to provide support for studies on cognition in non-CNS diseases like cancer or cardiovascular disease. A better understanding of the problems that patients complain of in their everyday life could help focus studies on appropriate endpoints for laboratory-based assessments.
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I have no background in this type of work, and don’t really understand the terminology or the tools, so I have focussed my time so far on reading the e-mail exchanges and listening to presentations and discussions on the weekly forums. I am also intending to go through the training videos. I already saw that there may be people in the network who are interested in mental health or neurological disorders. It would be great to collaborate to identify specific questions which could be addressed by the techniques the OHDSI team has available.