Who's speaking at Data Day Health?

We are beginning to confirm the first wave of speakers for Data Day Health. If there is someone you would like to see, or some technology that you would like to see represented, please send us a note. If you'd like to speak at Data Day Health, please send us a proposal.

Confirmed Speakers

(KEYNOTE) - Dr. William Hersh (Portland)

Dr. William Hersh, MD, FACMI, FACP is Professor and Chair of the Department of Medical Informatics & Clinical Epidemiology in the School of Medicine at Oregon Health & Science University (OHSU) in Portland, Oregon, USA. Dr. Hersh is a leader and innovator in biomedical informatics both in education and research.

In education, Dr. Hersh developed and serves as Director of all of OHSU’s graduate biomedical informatics education programs, including the Master of Science, the Master of Biomedical Informatics, the Graduate Certificate, and the Doctor of Philosophy. Dr. Hersh also spearheaded OHSU’s efforts in distance learning for biomedical informatics, which are available up to the master’s degree level. He also conceptualized and implemented the first offering of the American Medical Informatics Association (AMIA) 10x10 (“ten by ten”) program, which has provided education to over 2000 health care professionals and others in biomedical informatics.

Dr. Hersh also serves as Director of OHSU's two Fellowship Programs in Biomedical Informatics. These include OHSU's Reseaarch Fellowship in Biomedical Informatics, which is funded by a training grant from the National Library of Medicine, and its new ACGME-accredited Clinical Informatics Fellowship. Dr. Hersh has also been involved in other global efforts to expand informatics capacity through education, serving as Director of an Informatics Training for Global Health grant from the National Institutes of Health Fogarty International Center in collaboration with Hospital Italiano of Buenos Aires, Argentina as well as activities in Singapore and elsewhere.
Dr. Hersh will be presenting the plenary keynote for Data Day Health.

 

Stephen Barr (Seattle)

Stephen Barr is the lead data scientist for the Clinical Pathways Office at Seattle Cancer Care Alliance. In this role, he designs and implements infrastructure for concordance reporting of patients to clinical pathways (flowcharts for cancer care). Stephen is working on completing his PhD in Operations Management at the University of Washington, Foster School of Business. His focus is on machine learning and healthcare operations. His background is in applied math, statistics, and economics. He is also passionate about functional programming with Haskell and graph databases (Neo4j).
Stephen will be holding the following session: Graph Representations of Clinical Standards of Care in Oncology.

 

Nikhil Buduma (SF Bay) @nkbuduma

Nikhil Buduma (Linkedin) is Co-founder and Chief Scientist at Remedy Health, a San Francisco-based company that is building a new system for data-driven primary healthcare.
At the age of 16, he managed a drug discovery laboratory at San Jose State University and developed novel low-cost screening methodologies for resource-constrained communities. By the age of 19, he was a two-time at the International Biology Olympiad. He later attended MIT, where he focused on developing large scale data systems to impact healthcare delivery, mental health, and medical research. At MIT, he co-founded Lean On Me, a national non-profit organization that provides an anonymous text hotline to enable effective peer support on college campus and leverages data to effect positive mental health and wellness outcomes.
Today, Nikhil spends his free time investing in hard technology and data companies through his venture fund, Q Venture Partners, and managing a data analytics team for the Milwaukee Brewers baseball team.
While at Data Day Health, Nikhil will be signing advance copies of his upcoming O'Reilly book: Fundamentals of Deep Learning

 

Dr. Denise Koessler Gosnell (Charleston) @DeniseKGosnell

Denise Gosnell is the Senior Technical Evangelist for PokitDok. Prior to this role, she was a driving member of the PokitDok Data Science team for 2.5 years during which she helped architect a graph database and served as an analytics thought leader. Her work with the Data Science team extracted insight from the trenches of hidden data in healthcare and build products to bring the industry into the 21st century.
Prior to Pokitdok, Denise earned her Ph.D. in Computer Science from the University of Tennessee where she founded a branch of Sheryl Sandberg's Lean In Circle. The goal of this organization is to guide women interested in computer science careers. In Charleston, she can be found on her paddleboard during the daily commute to and from the historic peninsula. She received her PhD from the University of Tennessee, and her PhD research has been featured widely at conferences from London to San Diego. A retired college swimmer, former math teacher and National Science Foundation Graduate STEM and IGERT Fellow, her collegiate accomplishments are vast. As a graduate student, she founded the Systers group, two start-ups and was highlighted as a Tennessee Torchbearer.
Denise will be holding the following session: Solving Healthcare’s Dirtiest Data Problems, and I Might Mention Blockchain. . ..

Pierre Gutierrez (Paris) @prrgutierrez

Pierre Gutierrez is a senior data scientist at the red-hot Paris startup, Dataiku. As a data science expert and consultant, Pierre has worked in diverse sectors such as e-business, retail, insurance or telcos. He has experience in various topics such as fraud detection, bot detection, recommender systems, or churn prediction. Pierre is an experienced Kaggle competitor, and has written about several of his experiences. Pierre will be speaking about transfer learning applications. While at Data Day, Pierre and his colleagues will also be demonstrating the Dataiku collaborative data science platform - Dataiku DSS.

 

David Hughes (Seattle)

David Hughes David Hughes is the associate director of the Clinical Pathways Office. With backgrounds in both clinical care and software development, David leads the Clinical Pathways Office at Seattle Cancer Care Alliance. He enjoys problem solving and developing leading edge services with a focus on eliciting, processing, and acting on core issues that affect users. (a:Person {name : 'David' })-[:LIKES]->(g:Theory {name : 'Graph'})
Stephen will be holding the following session: Graph Representations of Clinical Standards of Care in Oncology.

 

Sanjay Joshi (Seattle)

Sanjay Joshi is the CTO of Healthcare and Life Sciences at the EMC Emerging Technologies Division. Based in Seattle, Sanjay's 28+ year career has spanned the entire gamut of life-sciences and healthcare from clinical and biotechnology research to healthcare informatics to medical devices; he defines himself as a “non-reductionist systems guy.”
His current focus is a systems view of Genomics, Proteomics and Healthcare for infrastructures and informatics. Recent experience has included data management and instruments for Electronic Medical Records; Proteomics and Flow Cytometry; FDA and HIPAA validations; Lab Information Management Systems (LIMS); Translational Genomics research and Imaging. Sanjay holds a patent in multi-dimensional analytics. He began his career developing and building X-Ray machines.
Sanjay was the recipient of a National Institutes of Health (NIH) Small Business Innovation Research (SBIR) grant and has been a consultant or co-Principal-Investigator on several NIH grants. He is actively involved in non-profit biotech networking and educational organizations in the Seattle area and beyond.
Sanjay holds a Master of Biomedical Engineering from the University of New South Wales, Sydney and a Bachelor of Instrumentation Technology from Bangalore University. He has completed several medical school and PhD level courses.
Sanjay Joshi will be holding the following two sessions:
1) R you experienced?: Genomics 101 and a real-world R example for genetic analysis, and
2) Deconvolving cellular phenotypes in images: a review of deep learning and machine Intelligence methods in healthcare Imaging

Gunnar Kleemann (Berkeley / Austin)

Gunnar Kleemann is a Data Scientist with the Berkeley Data Science Group (BDSG). He is interested in how data science facilitates biological discovery and lowers the barrier to high-throughput research, particularly in small, independent labs. In addition to his work with BDSG, he is also involved in the development and implementation of technologies like the ATX Hackerspace Biology Laboratory.
Gunnar holds a PhD in Molecular Genetics from Albert Einstein College of Medicine and a Master’s in Data Science from UC Berkeley. He did post-doctoral research on the genomics of aging at Princeton University, where his research focused developing high throughput robotic assays to understand how genetic changes alter lifespan and reproductive biology.
Gunnar will be co-presenting the following session: Biorevolutions: a Data Science Approach to Success in Biotechnology.

 

(NEW) - Toby Owen (Austin)

With nearly 20 years of experience in hosting, cloud and technology, Toby Owen oversees the product strategy and execution for OnRamp’s portfolio of high security colocation, managed hosting, and private cloud products. Prior to OnRamp, Toby led product and security teams at Cogeco Peer 1, Rackspace and Wells Fargo. OnRamp, is an industry leading high security and hybrid hosting provider that operates multiple enterprise class data centers located in Austin, Texas and Raleigh, North Carolina. As an SSAE 16 SOC II Audited, PCI and HIPAA compliant company, OnRamp specializes in helping organizations meet their rigorous compliance requirement and keep their data safe.

 

(NEW) - Juan Sequeda (Austin) @juansequeda

Dr. Juan Sequeda is the co-founder of Capsenta and the developer of Ultrawrap, a system that virtualizes relational databases as graph data sources. His research interests are on the intersection of Logic and Data and in particular between the Semantic Web and Relational Databases for data integration. Juan holds a Ph.D. in Computer Science from the University of Texas at Austin. Capsenta is a spin-off from his PhD research. Juan is the recipient of the NSF Graduate Research Fellowship, Best Student Paper at the 2014 International Semantic Web Conference, and 2nd Place in the 2013 Semantic Web Challenge for his work on ConstituteProject.org. Juan is on the editorial board of the Journal of Web Semantics and has been an invited expert member and standards editor for the World Wide Web Consortium (W3C) Relational Database to RDF Graph working group.
Check out our recent interview with Juan Sequeda.

(NEW) - Duane Steward (Orlando, Florida)

Duane Steward, D.V.M., M.S.I.E., Ph.D. is currently Research Assistant Professor, Biomedical Informatics Center, at the Texas A&M Health Science Center. Dr. Steward looks at health care through the lens of a system engineer. He comes up with computer models of care processes so they can be simulated and new approaches tried out, to predict what techniques would improve both quality and affordability of care.
Dr. Steward will be co-presenting the following session: Quantifying Patient Improvement in Equine Assisted Activities and Therapeutics with Kinetic Sensors

(NEW) - Denis Vrdoljak (SF Bay)

Denis Vrdoljak (Co-Founder and Managing Director at the Berkeley Data Science Group (BDSG)): Denis is a Berkeley trained Data Scientist and a Certified ScrumMaster (CSM), with a background in Project Management. He has experience working with a variety of data types-- from intelligence analysis to electronics QA to business analytics. In Data Science, his passion and current focus is in Machine Learning based Predictive Analytics and Network Graph Analysis. He holds a Master's in Data Science from the UC Berkeley and a Master's in International Affairs from Texas A&M.
Denis will be co-presenting the following session: Biorevolutions: a Data Science Approach to Success in Biotechnology.

 

(NEW) - Anna Mengjie Yu (Austin)

Anna Mengjie Yu is a PhD candidate at The University of Texas at Austin working on using next generation sequencing data for species classification, i.e. find the most common ancestor using maximum likelihood method and Bayesian inference. She is also a MS candidate in the department of Statistics and Data Sciences. Upon graduation, Anna will join Intel as full time Data Scientist in summer 2017.
Previously,Anna interned at Takeda Pharmaceutical Computation Biology group in Boston, where she developed and implemented a simulation based method for pathway enrichment analysis, and used correlation network to facilitate biomarker identification. Anna has also interned at Dow Agrosciences Data Analysis group in Indianapolis, where she developed an interactive visualization and analysis platform for better data driven decisions, and mined historical business data for better future resource allocation.
Anna will be co-presenting the following session: Unfold The Mystery of Genome Through Mining Next Generation Sequencing Data

 

 

 


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