Daniel Goldenholz

Daniel Goldenholz

Assistant Professor of Neurology @ Beth Israel Deaconess Medical Center

About

My research is focused on data science applied to the field of epilepsy for diagnostics (multimodal imaging and biosensor techniques), therapeutics (clinical trial studies) and prognostics (seizure forecasting). My long term goal - find ways to help end the suffering of patients with epilepsy.

Country

-

City

United States

Industry

Hospital & Health Care

Skill

Artificial Intelligence (AI), Data Science, epilepsy, Clinical Research, Medicine, Neurology, Neuroscience, Medical Research, Biomedical Engineering, Medical Imaging, Medical Education, Healthcare, Neurophysiology, fMRI, MRI, Hospitals, Internal Medicine, Clinical Trials, magnetoencephalography, mHealth

Experience

Beth Israel Deaconess Medical Center

Assistant Professor of Neurology

Beth Israel Deaconess Medical Center

LinkedIn
2022-4 - Present · 4 yrs 6 mos

Boston, Massachusetts, United States

Beth Israel Deaconess Medical Center

Instructor

Beth Israel Deaconess Medical Center

LinkedIn
2017-7 - 2022-5 · 4 yrs 11 mos

Boston, MA

2/3 time researching ways to fight epilepsy using data science 1/3 time clinical epileptologist

The National Institutes of Health

Advanced Clinical Fellow

The National Institutes of Health

LinkedIn
2015-7 - 2017-7 · 2 yrs 1 mo

Bethesda, Maryland

Clinical care of patients with epilepsy, as well as research into several areas: 1) Big Data approach to study natural fluctuations of epilepsy and the impact on clinical trials, 2) Advanced signal processing of EKG and pulse oximetry for SUDEP, and 3) advanced imaging for epilepsy using MRI

The National Institutes of Health

Clinical Epilepsy Fellow

The National Institutes of Health

LinkedIn
2013-7 - 2015-6 · 2 yrs

Bethesda, Maryland

clinical care,medical research,clinical training,neurophysiology,epilepsy My research has focused on several areas of neuro-technology, including Big Data analysis of seizure data to uncover trends in placebo effects, retrospective look at presurgical imaging for prediction of outcome, and blood brain barrier imaging with DCE/DSC MRI

UC Davis Medical Center

Neurology resident

UC Davis Medical Center

2010 - 2013 · 3 yrs

neurology clinical care medical research

Alameda County Medical Center (Highland hospital)

Medical Intern

Alameda County Medical Center (Highland hospital)

2009 - 2010 · 1 yr

Oakland, CA

internal medicine training

Harvard Medical School

Postdoctoral Research Fellow

Harvard Medical School

LinkedIn
2008 - 2009 · 1 yr

Charlestown, MA

multimodal imaging research DTI TMS fMRI NIRS medical imaging

Impulse Dynamics

Research Assistant

Impulse Dynamics

1999 - 2000 · 1 yr

Studying advanced pacemaker technology, signal processing

Education

Duke University School of Medicine

Duke University School of Medicine

LinkedIn

Clinical Research Training Program

2015 - 2017 · 2 yrs
Boston University School of Medicine

Boston University School of Medicine

LinkedIn

Medicine and Biomedical Engineering

2000-9 - 2008-5 · 7 yrs 9 mos
Boston University School of Medicine

Boston University School of Medicine

LinkedIn

Biomedical/Medical Engineering

2000 - 2008 · 8 yrs

Medical school PH.D. in biomedical engineering Thesis: Spatiotemporal techniques in multimodal imaging for brain mapping and epilepsy

University of Wisconsin-Madison

University of Wisconsin-Madison

LinkedIn

Electrical and computer engineering

1996 - 2000 · 4 yrs

Majored in Electrical and Computer Engineering, founded the UW-Biomed Group, tutored math, learned sailing, worked in the Biomagnetism Lab as a research assistant and spent 2 summers and a winter break working in a small startup in Israel on pacemaker technology where I wrote my first two patents.

Daniel Goldenholz's Contact Information

Email

******@***.com

Phone

(**) *** ****

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