Hi, my name is Chris Roeder. I work as a research assistant in the School Of Medicine at the University Of Colorado Anschutz Medical Campus. I’ll be putting my experience as a software developer to work harmonizing clinical trials data into OHDSI with David Kao. I see some familiar names here @mgkahn, @nigam. I look forward to working with you all.
Hi all. I’m Phil and I am a nursing RN and newly minted PhD.
I have had two mutually exclusive lives on and off over the last 35 years, they are, technology and health. Technology started off in electronics and migrated into ICT. Health started in the NSW ambulance and migrated into nursing. My two lives recently integrated 15 years ago with the advent of clinical informatics. So, these days I fill in my doterage converting stuff into OWL-DL ontologies and using inference for the benefit of patients. I’m currently converting the Australian version of ICD-10 into an OWL-DL ontology with the hope of using reasoning to infer the ICD code for a patient’s diagnosis.
Also, I tell my dog he is a good boy and walk into posts while star gazing.
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Hi I am Miriam and back to ODSHI! Working in Europe and trained as pharmacoepidemiolngists but being in the middle of great engineers who made me appreciate what can be done together. My interest is in using distributed data to study the use and effects of drugs/vaccines especially in vulnerable populations such as children/mothers. I have ran many such studies in the EU and globally and find myself every time with questions that should be addressed in a global manner. My interest in ODSHI is to run studies / have a working group on pediatrics and/or vaccines. Studying dosing in children is always difficult and I would like to find out what is done about that in ODSHI. I was leading the global pediatric pharmacoepidemiology platform as part of the EC funded GRIP Network of Excellence and dosing in children is one of the main areas to be addressed. I also ran global studies on vaccine safety for CDC, WHO and EC where the coding of vaccines/vaccine dictionaries are an issue. So would be great to share and discuss this with you! Within the EU I am coordinating the ADVANCE consortium on vaccine benefits and risks and here the question would be whether we could run some of the ODSHI tools on the CDM. So I am curious and excited to be here and connect and see many areas of collaboration!!
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Hi All - My name is Laura Hester, and I am a new member of the Epidemiology Analytics team at Janssen R&D (working for @Patrick_Ryan and @Frank ). I’m looking forward to participating in and learning from the OHDSI community!
I recently completed my PhD in epidemiology (specifically cancer pharmacoepidemiology) at the University of North Carolina-Chapel Hill, and I have an MS in epidemiology (concentration in infectious diseases) from Johns Hopkins University. My side research interests include using machine learning methods to reduce bias in observational analyses and to improve treatment decision-making in the clinic. I’m particularly interested in applying these methods in cancer outcomes research.
In my free-time, I enjoy swimming, painting, and crossing places off of my “To Visit” list.
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Hello everyone! My name is Meera Patel. I recently graduated from medical school. (I suppose I may introduce myself with a “Dr.” prefix, but I prefer just plain ol’ Meera.) I’m originally from California, but I have quite the international experience. My medical degree is from Australia with 2 years of clinical rotations in America. It was interesting to see both paper-based medical care and EMR-based care during my med school years.
I would describe my employment history prior to medical school as “exploratory” - over 3 years in research in numerous and vastly different fields (breastcancer benchwork/quantitative, health services/qualitative, public health); 1+ business management experience from starting a private IT consulting company a decade ago; 1 year of nonprofit experience where my major roles were in medical communications and management. I’ve traveled a bunch in between and lived in Nepal and Kenya. Now, I am currently working in liver transplant research at a private hospital in New Orleans.
I learned about big data and bioinformatics just a few weeks ago - my research supervisor mentioned “R” and I’ve been teaching myself programming and statistics ever since! It has been a whirlwind romance between data and I. I’m hoping that I can help liver transplant surgeons develop strong, relevant conclusions from EHR data on their patients over the last 10 years. I joined OHDSI to start developing on my primitive but rapidly growing skills in the area - by helping out with projects and via mentorship. I’m looking forward to getting to know some people who are as passionate about data as I am!
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Hi Everyone I’m Venkat Internal Medicine Physician from Brown University. Pursuing Msc. Clinical Investigation at Harvard Med. Interested in development of prediction / causal models for atrial fibrillation and stroke risk using machine learning methods and EHR data. Looking for collaboration with data scientists experienced in health care sector. I got introduced to OHDSI by @nigam Trying to be a part of this community and do my best to advance science.
Hi! I’m Bernardo Neves from Lisbon - Portugal. I’m an internal medicine physician with particular interest on risk stratification on multiple chronic diseases. Looking for collaboration with other physicians and data scientists with similar interests
Hi, I am Yubin Park. I am currently Managing Director, AI Solutions at Evolent Health, which works with provider-sponsored health plans and helping them manage financial/clinical risks. Before this, I co-founded a start-up called Accordion Health, which focused on using Machine Learning techniques to identify financial opportunities for risk-taking healthcare organizations. Accordion Health was acquired by Evolent in June 2017 - hence my current role at Evolent.
I received my PhD in machine learning and data mining from UT Austin. I like to play around with data, especially when I can find business/domain-specific insights from the data. I am amazed by how much this community has built, and plan to explore all the tools one by one. I believe I can contribute on some of the open-source packages, and perhaps, providing some commercialization ideas. I am very excited to join the community! Thanks,
Hi Friends in Odyssey,
I am a computer engineer, also MSc. student at Medical Informatics graduate program. I am developing a question/answer system over PubMed articles - my thesis. I work in a software company meanwhile. I coded a REST API for our mobile health application.
Why I am here is: I downloaded PubMed database and imported data with MedlineXMLToDatabase tool(Great thanks to developers). Then I extracted entities with cTAKES tool(Another thanks to developers). Yet, I haven’t finished importing entities to database with articleIDs. After importing entities, it is time to connect questions to answers through imported entities. Then recall, precision, F-score, etc. will be measured by expert opinion owners(statisticians, physicians, doctors, care persons…) I hope to find a way to reach information and help health researchers by EBM articles published.
I am really happy that I felt at home with you. You all working on relevant area of IT and health. If any child on earth would have a little benefit from one of these works, that is the key to my dreams.
I’m Rosa Gini, mathematician by origin, head of the Pharmacoepi Unit of the public health reserach agency of Tuscany, Italy. Exactly on year ago I completed a PhD in data science, @Miriam2 was my advisor and @schuemie my tutor. Besides them, I have worked a lot with Peter Rijnbeek - Peter and Martijn helped me mapping my local data to the CDM
My main scientific interest is using big data to validate big data: exploiting different ways of measuring the same thing, and using the discrepancies as a measure of validity of the information. I think this fits nicely the OHDSI scope, both at a theoretical level (conceptualize validity, develop methodology and theorems) and at an implementation level (develop tools that implement the theory), and I would like to explore the opportunity of creating a workgroup on this topic.
I see that previous presentations abound in descriptions of food and drink pleasures, and I am definitely on board for that! I would also add traveling, I love doing that, both for work and with my family and friends.
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Greetings!
My name is Jeselyn Rhodes and I am an analyst within the Data Solutions team of the Libraries and Information Technology Department of Emory University. I am very excited that this forum exists and looking forward to exploring the resources available through OHDSI. My main projects are managing a clinical registry for Emory CFAR and extraction/transformation/analysis of EMR data to measure Diabetic patient management for a group of Endo physicians practicing at a local safety net hospital. Our OMOP/CDM projects are in the planning phase so I am really interested in connecting with others who have worked through implementation using either clinical registry or EMR data.
My full-full time job is CMO (Chief Mother Officer) of the Rhodes family where my main duties involve caring, supporting, and guiding a 9 year old Pokemon fanatic, 15 year old super-teen, and a loving husband.
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Hello everyone. My name is Nicole Mattucci. I have a background in clinical nursing, working in quality & operations for a Medicare Advantage plan, and currently am working in quality management in the digital health space. I was searching for an opportunity to share ideas and collaborate on trends seen in all aspects of medicine. My goal is to have a better understanding in healthcare data science & analytics. I look forward to getting to know all of you!
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Hello everyone,
I’m Tom De Smedt, biomedical engineer by education, and specialized in R programming and creating interactive visualizations and web applications, especially for public health and vaccine topics. In this context I currently work for P95 (a Belgian-based SME) as a data analyst. In this capacity I work on the ADVANCE and DRIVE projects, where I work with @Miriam2, @KaatBollaerts and many others.
My main interest include showing scientific results in innovative ways and making these results accessible to a wider audience, and I believe this could fit nicely with OHDSI.
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Hi everyone,
I’m Dave Kern, an epidemiologist at Janssen R&D and a member of the Epi Analytics team here.
I recently came to Janssen from HealthCore, which is a subsidiary of Anthem, where I worked extensively with Anthem’s claim data doing health outcomes research. I’m used to working directly with billing codes (ICD-9, ICD-10, CPT, etc), but I’m beginning to get myself acquainted with OHDSI vocabulary and the CDM. Given my background on the payer side I’m interested in learning more about how claims are being mapped to the CDM and helping out with that process if possible.
I received my PhD in Epidemiology from Drexel University and my masters in Biostatistics from Columbia. I’d like to apply my epi methods knowledge to the work we do in OHDSI to help create tools that allow us to do robust analyses with minimal amounts of bias.
Outside of the epi world, I’m a new dad, so my free time is now NULL. But when I do find some I enjoy brewing beer.
Looking forward to working with all of you and contributing to the OHDSI community.
Dave
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Hello, my name is Sam Martin and I live in West Michigan my role at Spectrum Health is as a Research Informatics Architect. My work is focused on defining and delivering sets of tools or processes to our research teams enabling them to advance the care we provide.
My background includes direct patient care (Emergency Medicine, Neurology and Alzheimer’s research), a Master’s Degree in Health Administration and extensive experience in the Information Technology space (Data Analyst, Lead Analyst for Data Warehouse, Data/Informatics Architect).
Our organization (13 hospitals, 1,400 employed physicians and 850,000 covered lived in a health plan) is currently transitioning from a mixed EHR model (Cerner - Inpatient and Epic - Ambulatory) to an all Epic implementation. This transition presents us with new opportunities to leverage a clinical data as well as the tools Epic is offering.
Additionally, we have been selected as one of the All of Us Research Program sites.
The use of OMOP for All of Us has solidified our focus on the adoption of OMOP for wider use at Spectrum Health. We have begun our mapping of legacy (Cerner and Epic) and current data (Epic) into the OMOP model. We look forward to this journey and welcome any guidance or assistance from the OHDSI community.
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Hi. I’m Rich Forshee. I work at the Center for Biologics Evaluation and Research at the FDA. I lead the Analytics and Benefit-Risk Assessment Team in the Office of Biostatistics and Epidemiology. I’ve done a lot of work with observational data over my career, and my team and I are currently working to estimate vaccine effectiveness using CMS data (among other projects).
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Hi, I’m Ray Grimaila. I work in the Data Center of Excellence at GSK in the Data Curation group to make datasets more accessible to R&D. Currently working with Genetics, Clinical, and ODA datasets. I am new to the OHDSI community.
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Hi all,
I am Jauwairia Nasir from Pakistan, a recent EE Masters degree graduate from KAIST Korea with a specialization in motion planning for mobile robots and cognitive architectures for service robots. My research interests have widened with a deeper interest in applications that lie at the intersection of AI and Healthcare. OHDSI seems to be one of the best platforms for this. I am amazed by the collaborative work being done here! 
I am new to this community and after having attended OHDSI symposium and a tutorial this year, im particularly interested in ETL process and Patient-Level Assessment of Treatment Outcomes. Would love to learn more!
Also, could anyone let me know if there is any work going on databases from South Asian region?
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Hello All,
My name is Fraser Gaspar and I’m an epidemiologist/biostatistician in the MDGuidelines department at ReedGroup. I work on health informatics tools, as well as independent research involving factors that influence healing time, opioid prescriptions, guideline adherence, and healthcare utilization variability. I work with large medical claims databases mainly using the R statistical software.
I’m mainly interested in collaboration on common research projects. I have access to lots of data and love to work with people to solve problems.
I live in Colorado and like to ski, play hockey, and chat over a beer.
Thanks,
Fraser
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Hello!
I am a software and data warehouse developer and entrepreneur. I began my technology career in Silicon Valley working with Ralph Kimball on his first data warehousing startup, Metaphor Computer Systems. I started CallBack Software in 1985 and developed one of the first multiuser Customer Relationship Management Systems. I got involved in healthcare in 1999 working with Dr. Shawn Murphy on the Research Patient Data Registry, which was the prototype for i2b2. Since 2005 have focused on improving healthcare and medical research through better use of data. I was cofounder of Recombinant Data Corp, which helped academic medical centers implement i2b2 and SHRINE, and which developed tranSMART, a genomic analysis platform based on i2b2. Recombinant was acquired by Deloitte in 2012 (it is now known as Converge Health). In 2016, I founded a non-profit, the Autoimmune Registry, which is a national registry for autoimmune diseases modeled on the National Cancer Registry. We have deployed a data collection platform for autoimmune disease patients and a registry where researchers can use i2b2 to discover cohorts. Please contact me if you are interested in autoimmune disease!
This year, I started a new company, Prognosis Data Corp, which seeks to create Learning Healthcare Systems that can improve the lives of patients while using technology to efficiently and effectively direct resources to those who need them. We are developing our solutions using OMOP and OHDSI tools and we look forward to contributing to the OHDSI project.
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