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Anuar T Imanbayev

from Seattle, WA
Age ~36
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Also known as:
Anuar Anuar
Related to:
Othman C Ouenes, 36Talapker ImanbayevGalym Imanbayev, 34
Connected to:
Queen O Imandojemu, 58Adil Imani, 32Ashley Imani, 27Batiste Imani, 34Behzad Imani, 47Conwell Imani, 33Jiles Imani, 28Kamran L Imani, 66Moody Imani, 28Ramin Imani, 59

Anuar Imanbayev Phones & Addresses

  • Seattle, WA
  • Beaverton, OR
  • Baltimore, MD
  • Lake Oswego, OR
  • 4932 Mulholland Dr, Lake Oswego, OR 97035

Work

Company: Brain health study (bhs) group, johns hopkins medical institutions 2011 Position: Research analyst

Education

School / High School: JOHNS HOPKINS UNIVERSITY SCHOOL OF PUBLIC HEALTH- Baltimore, MD 2011 Specialities: Ph.D. in Mental Health

Skills

FULL-STACK DEVELOPER SKILLS [Moderate to... • IDL • MATLAB • C/C++ • Java • Javascript • PHP • Python • SQL(Lite • Postgres) • Ruby. Agile Dev Web/Mobile: RubyonRails • jQuery • Ajax • HTML5//CSS//SASS//LESS//XML • Angular//Backbone//Ember//Node... UI/UX... • Balsamiq • Adobe Fireworks. Host Server Deployment:... • PaaS: Heroku//EngineYard//OpenShift. Loc... • JIRA issue management. Statistical Softw... • R • SPSS • SAS • JMP. 3D Neuroimaging software: BrainVoya... • Freesurfer • MRIcroN • DTIStudio • ROIEditor • DiffeoMap • AI7 DTI Plugin Suite. 3D Imaging softwar... • MilkShape • Blender • Sculptris • Photoshop • Illustrator • GIMP • PaintDOTNet.

Languages

English • Russian • French • Arabic • Kazakh

Ranks

Certificate: Certificate Program In Gerontology

Interests

Social Services • Children • Economic Empowerment • Civil Rights and Social Action • Education • Poverty Alleviation • Science and Technology • Human Rights • Health

Emails

t***[email protected]

Industries

Research

Resumes

Resumes

Anuar Imanbayev Photo 1

Data Scientist

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Location:
110 west 39Th St, Baltimore, MD 21210
Industry:
Research
Work:
Novo Nordisk
Data Scientist
Insight Data Science Jun 2016 - Nov 2016
Fellow
Habitus Health Sep 2013 - Apr 2016
Chief Executive Officer
Johns Hopkins Bloomberg School of Public Health Sep 2011 - May 2015
Phd Student
Brain Health Study Group Sep 2011 - May 2015
Diffusion Tensor Imaging Data Scientist
Education:
Hopkins School 2010 - 2011
Masters, Master of Health Science, Health Science The Johns Hopkins University 2006 - 2010
Bachelors, Bachelor of Arts, Natural Science
Skills:
Clinical Research
Public Health
Research
Java
Neuroimaging
Programming Languages
Postgresql
3D Modeling
C++
Biostatistics
Ngos
Healthcare Management
Mental Health
Mental Health Law
Public Health Education
3D Studio Max
3D Rendering
Idl
Idl Programming
Brain Tumors
Brain Injury
Brain Injury Rehabilitation
Deep Brain Stimulation
Mri Software
Mricro
Dti
Bioinformatics
Gerontology
Large Scale Data Analysis
Dreamweaver
Publications
Publication Planning
Publication Development
Publications Production
Psychosocial
Long Term Care
Healthcare Information Technology
Healthcare Analytics
Laboratory Skills
Laboratory Medicine
Elder Care
Elder Law
Mental Health Care
Community Mental Health
Public Health Informatics
Interventions
Ruby on Rails
Cbt
Ajax
Interests:
Social Services
Children
Economic Empowerment
Civil Rights and Social Action
Education
Poverty Alleviation
Science and Technology
Human Rights
Health
Languages:
English
Russian
French
Arabic
Kazakh
Certifications:
Certificate Program In Gerontology
Certificate Program In Bioinformatics
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Center on Aging & Health
Health Policy Department at Jhsph
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Anuar Imanbayev Photo 2

Anuar Imanbayev Baltimore, MD

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Work:
BRAIN HEALTH STUDY (BHS) Group, Johns Hopkins Medical Institutions

2011 to 2000
Research Analyst
BRAIN INJURY OUTCOMES (BIOs) Group, Johns Hopkins Medical Institutions
Baltimore, MD
2008 to 2011
Research Analyst
Education:
JOHNS HOPKINS UNIVERSITY SCHOOL OF PUBLIC HEALTH
Baltimore, MD
2011 to 2015
Ph.D. in Mental Health
Johns Hopkins School of Public Health
Baltimore, MD
2010 to 2011
MHS in Mental Health in Public Health
JOHNS HOPKINS UNIVERSITY
Baltimore, MD
2006 to 2010
BA in Natural Sciences, Neurosciencec
Skills:
FULL-STACK DEVELOPER SKILLS [Moderate to Advanced Proficiency]. Programming: Visual Basic, IDL, MATLAB, C/C++, Java, Javascript, PHP, Python, SQL(Lite, Postgres), Ruby. Agile Dev Web/Mobile: RubyonRails, jQuery, Ajax, HTML5//CSS//SASS//LESS//XML, Angular//Backbone//Ember//Node... UI/UX design: Twitter Bootstrap//Foundation//Bourbon... jQuery UI, Balsamiq, Adobe Fireworks. Host Server Deployment: CI-Atlassian Bamboo//GitLab, PaaS: Heroku//EngineYard//OpenShift. Local Server Development: Atlassian BitBucket//GitLab, JIRA issue management. Statistical Software: STATA, R, SPSS, SAS, JMP. 3D Neuroimaging software: BrainVoyager, Freesurfer, MRIcroN, DTIStudio, ROIEditor, DiffeoMap, AI7 DTI Plugin Suite. 3D Imaging software: 3ds MAX Autodesk, MilkShape, Blender, Sculptris, Photoshop, Illustrator, GIMP, PaintDOTNet.

Publications

Us Patents

Insulin Titration Algorithm Based On Patient Profile

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US Patent:
20200227170, Jul 16, 2020
Filed:
Jun 14, 2018
Appl. No.:
16/622384
Inventors:
- Bagsvaerd, DK
Tinna Bjoerk Aradottir - Copenhagen, DK
Thomas Dedenroth Miller - Seattle WA, US
Anuar Imanbayev - Seattle WA, US
International Classification:
G16H 50/30
G16H 20/17
G16H 10/60
G16H 50/50
G16H 70/40
G16H 70/60
G16H 70/20
G16H 50/20
A61B 5/00
Abstract:
A device, system and method is provided for predicting risk of hypoglycemia and adjusting an insulin medicament dose size for a subject being on pen based multi-daily injections. A first algorithm is provided for computing a first insulin dose size based on a plurality of timestamped blood glucose (BG) measurements and insulin injected dose sizes. A risk prediction module is adapted to, based on machine learning algorithms, predict risk of hypoglycemia based on the timestamped BG measurements and calculate a second insulin dose size resulting in a non-hypoglycemic state. In case the second dose size is lower than the first dose size, the first dose size is automatically adjusted down to the second dose size and communicated as the recommended dose size to the subject.

Device For Titrating Basal Insulin

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US Patent:
20190388512, Dec 26, 2019
Filed:
May 20, 2019
Appl. No.:
16/417032
Inventors:
- Bagsvaerd, DK
Thomas Dedenroth Miller - Seattle WA, US
Oleksandr Shvets - Everett WA, US
Anuar Imanbayev - Seattle WA, US
Brad Warren Van Orden - Seattle WA, US
International Classification:
A61K 38/28
A61B 5/145
G16H 20/17
A61P 3/10
Abstract:
The invention relates to a novel administration regime useful in the treatment of diseases or conditions where administration of insulin will be of benefit. In particular, the invention relates to a long-acting or ultra-long acting insulin for use in treating a disease or condition where administration of insulin will be of benefit, wherein the administration of said insulin includes or consists of one or more of the following steps: (a) obtaining a first data set of the subject, (b) obtaining a second data set of the subject, (c) obtaining a first data structure of the subject, and (d) obtaining a second data structure of the subject. When a determination is made that the at least first data structure, second data structure, first data set, and second data set collectively do contain the set of evaluation information, the device further includes providing the long-acting or ultra-long-acting insulin dose guidance recommendation.
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Anuar T Imanbayev from Seattle, WA, age ~36 Get Report