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George Kenefati Email & Phone Number
Head of Fundraising
at
NeuroNYC
1 work email found
@neuro-nyc.org
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 86%
Current company
Role
Head of Fundraising
Location
New York, New York, United States
Company size
Who is George Kenefati? Overview
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Quick answer
George Kenefati is listed as Head of Fundraising at NeuroNYC, a company with 7 employees, based in New York, New York, United States. AeroLeads shows a work email signal at neuro-nyc.org and a matched LinkedIn profile for George Kenefati.
George Kenefati previously worked as Senior Data Analyst at Nyu Langone Health and Data Analyst at Nyu Langone Health. George Kenefati holds Master Of Science - Ms, Biomedical Engineering, 3.73 from Columbia University In The City Of New York.
Company email context
Email format at NeuroNYC
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{first}@neuro-nyc.org
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Profile bio
About George Kenefati
Research data analyst with 3 years of experience in the biomedical data, specifically neural signals.My passion is applying first principles thinking to optimize project efficiency and effectiveness, starting with thoughtful collaboration with other members of a team. - Machine and Deep Learning (SVM, LDA, CNN, RNN, LSTM, U-net, Transfer learning, GANs)- Data analysis (ETL, EDA, Interpretation, CI/CD)- Image and Signal Processing (EEG, MRI)- Business Development (Business model canvas, Customer discovery, Project management)- Research and Development (3D Printing, Iterative design, Materials testing, Vendor research)Primarily proficient in Python (scikit-learn, pandas, TensorFlow, PyTorch, Seaborn), as well as Spark, Docker, R, C++, and SQL.
Current workplace
George Kenefati's current company
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Neuronyc
15 roles
George Kenefati work experience
A career timeline built from the work history available for this profile.
Senior Data Analyst
CurrentLeading the collection, preprocessing, and analysis of EEG and iEEG data for four concurrent clinical studies with over 100 total participants, improving data integrity and consistency across the studies.Enhanced codebase quality by 60% and project efficiency by 80% through the integration of VS Code, GitHub, and Notion, establishing data science and.
Oct 2024 - Present
Data Analyst
Project: Neural decoding of pain onset in chronic pain patients for the development of a closed-loop therapeutic BCI. - Analyzing rodent LFP data and human EEG data- Developing personalizable algorithms for precise event detection using State Space Model and Kalman Filtering- Testing algorithms in real-time, closed-loop setting on rodent chronic pain model.
Mar 2022 - Oct 2024
Writer
Current
Dare To Fail Greatly
Dare to Fail Greatly is a biweekly newsletter focused on exploring themes of risk-taking and personal growth. It aims to inspire readers to embrace failure as a stepping stone toward success, fostering a mindset of resilience and continuous improvement.
Oct 2024 - Present
Innovation Fellow
CurrentThe MSIP Fellows Program is designed to educate and engage early-career scientists, attorneys, and/or business professionals who have strong interests in the commercialization process of new therapeutics, diagnostics, medical devices or digital health technologies to the worldwide patient population. If successfully completed, the fellow will be prepared.
Sep 2024 - Present
Partnerships Coordinator
Current- Join NeuroNYC: www.neuro-nyc.com
- Collaboration between neurotech companies inNYC including OpenBCl, Synchron, and SharperSense
- Hosting industry events that further collaboration within the burgeoning NYC neurotech scene
Aug 2024 - Present
Entrepreneurial Lead
The bootcamp introduces participants to the Lean Launchpad methodology and techniques to direct customer discovery through field interviews. Participants are required to conduct at least 20 customer interviews; attend online sessions and engage with other bootcamp teams and entrepreneurs. Teams “get out of the building” to learn from potential customers to.
Feb 2024 - Mar 2024
Data Analyst Intern
SAIL Guo LabProject: Major Depressive Disorder (MDD) vulnerability classification using structural MRI and transfer learning from Schizophrenia Disorder classification - Built a 3D to 2D conversion script for extracting center slices in all three planes of preprocessed data- Implemented a transfer learning model with on-the-fly data augmentation during.
Nov 2021 - May 2022
Student Data Analyst
Heffner Biomedical Imaging Laboratory- Restored defunct deep adversarial domain adaptation and classification network for labeling lung texture patterns as part of the COVID-19 C4R NIH research study- Introduced formal analysis pipeline integrating SSH tunneling, Jupyter Lab, and Unix command-line interface
May 2021 - Nov 2021
Application Specialist Intern
- Shadowed over 50 clinical microelectrode recordings for Deep Brain Stimulation (DBS) at various hospitals in theNortheast region and performed several successful recordings independently- Analyzed/interpreted electrophysiological recordings in real-time and discussed findings with neurologists/neurosurgeons- Facilitated clinical research teams through.
Oct 2020 - Oct 2021
Product Development Engineer
- Spearheaded development of an algorithm to detect formation of diabetic foot ulcers in a 15-patient pilot study- Co-led business development and materials testing of a graphene mask, generating $3,000 in the first 24 hours of sale- Designed, built, and implemented test rigs to test breathability of graphene masks, saving $7,000 in testing costs - Secured.
Feb 2020 - Oct 2020
Product Development Intern
Jun 2019 - Feb 2020
Project Co-Lead
3Dpav
3DPaV (3D-Printer-as-Ventilator) is an open-source blueprint for care providers to easily and inexpensively construct emergency ventilators from readily available materials. The proposed design meets the requirements for a continuous mandatory ventilation (CMV) system and Is in beta version for non-human testing only. 3DPaV is composed of readily.
Apr 2020 - Aug 2020
Student Research Assistant
- Led design, prototyping, and testing of MRI head phantoms for studying the distribution of current in the brain during transcranial direct current stimulation (tDCS)- Analyzed MRI data in Python to compute current distributions from magnetic field distortions induced by tDCS
Mar 2018 - May 2020
Product Development Intern
- Produced SolidWorks CAD renders and animations for transcranial direct current stimulation (tDCS) devices - Supported brain anatomy segmentation projects for current-pathway computational models- Prototyped and tested two mechanical components for use with tDCS devices
Apr 2017 - May 2019
2 education records
George Kenefati education
Master Of Science - Ms, Biomedical Engineering, 3.73
Bachelor Of Engineering - Be, Biomedical Engineering, 3.61
FAQ
Frequently asked questions about George Kenefati
Quick answers generated from the profile data available on this page.
What company does George Kenefati work for?
George Kenefati works for NeuroNYC.
What is George Kenefati's role at NeuroNYC?
George Kenefati is listed as Head of Fundraising at NeuroNYC.
What is George Kenefati's email address?
AeroLeads has found 1 work email signal at @neuro-nyc.org for George Kenefati at NeuroNYC.
Where is George Kenefati based?
George Kenefati is based in New York, New York, United States while working with NeuroNYC.
What companies has George Kenefati worked for?
George Kenefati has worked for Neuronyc, Nyu Langone Health, Dare To Fail Greatly, Mount Sinai Innovation Partners, and Columbia Engineering.
How can I contact George Kenefati?
You can use AeroLeads to view verified contact signals for George Kenefati at NeuroNYC, including work email, phone, and LinkedIn data when available.
What schools did George Kenefati attend?
George Kenefati holds Master Of Science - Ms, Biomedical Engineering, 3.73 from Columbia University In The City Of New York.
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