George Kenefati work email
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George Kenefati personal email
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.
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Head Of FundraisingNeuronycNew York, Ny, Us -
Senior Data AnalystNyu Langone Health Oct 2024 - PresentNew York, United StatesLeading 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 project management best practices.Developed advanced frequency domain and graph-theoretic analyses, uncovering key pain mechanisms during pain-evoked and resting-state EEG.Refactored pain-onset detection unsupervised state-space model, optimizing its application for human EEG and intracranial data. -
Data AnalystNyu Langone Health Mar 2022 - Oct 2024New York City Metropolitan AreaProject: 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 with noxious stimuli and optogenetic/DBS stimulation -
WriterDare To Fail Greatly Oct 2024 - PresentDare 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.
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Innovation FellowMount Sinai Innovation Partners Sep 2024 - PresentNew York, United StatesThe 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 to leverage their expertise in science, business and law to help drive research discoveries to the marketplace. The two-phase scheme will train participants in the various aspects of technology commercialization. -
Partnerships CoordinatorNeuronyc Aug 2024 - PresentNew York, New York, United States• 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 -
Entrepreneurial LeadColumbia Engineering Feb 2024 - Mar 2024New York, New York, United StatesThe 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 determine if they are solving a real-world problem with a sizeable market opportunity. In addition to providing entrepreneurial training, this program helps students and researchers identify new ways to apply research to solve global challenges. NSF I-Corps New York City Hub. -
Data Analyst InternColumbia University Nov 2021 - May 2022New York, United StatesSAIL 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 training- Mentored two student groups for the course final project -
Student Data AnalystColumbia University May 2021 - Nov 2021New York, New York, United StatesHeffner 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 -
Application Specialist InternAlpha Omega Oct 2020 - Oct 2021New York, New York, United States- 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 electrode positioning, stimulation sequences, data acquisition and transfer,patient comfort, study design, and full-stack troubleshooting -
Product Development EngineerFlextrapower Feb 2020 - Oct 2020New York, New York, United States- 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 venture position and guided team through 10-week CUNY Public Health Innovation Accelerator -
Product Development InternBonbouton Jun 2019 - Feb 2020New York, New York -
Project Co-Lead3Dpav Apr 2020 - Aug 20203DPaV (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 available, off-the-shelf products such as a 3D printer, AMBU bag resuscitator, tablet, and analog pressure gauge. The design costs under $900 and can be built within mere hours.This project was completed with funding from Columbia University as part of the Columbia University DIY Ventilator Challenge.
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Student Research AssistantAdvanced Science Research Center, Gc/Cuny Mar 2018 - May 2020New York, New York- 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 -
Product Development InternSoterix Medical Apr 2017 - May 2019New York, New York- 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
George Kenefati Education Details
Frequently Asked Questions about George Kenefati
What company does George Kenefati work for?
George Kenefati works for Neuronyc
What is George Kenefati's role at the current company?
George Kenefati's current role is Head of Fundraising.
What is George Kenefati's email address?
George Kenefati's email address is ge****@****nyc.org
What schools did George Kenefati attend?
George Kenefati attended Columbia University In The City Of New York, Macaulay Honors College At The City University Of New York.
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