Doctoral Student
CurrentDeveloping digital signal processing techniques for time series neuroscience data, including autoregressive and state space models, to drive innovation and understanding of mechanisms of Alzheimer's Disease and Anesthesia.
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Amanda Beck is listed as Doctoral Student at Purdon Lab at MGH, based in Greater Boston, United States. AeroLeads shows a work email signal at apple.com and a matched LinkedIn profile for Amanda Beck.
Amanda Beck previously worked as Research & Development Engineering Intern | Health Technologies at Apple and Head Teaching Assistant at Massachusetts Institute Of Technology. Amanda Beck holds Doctor Of Philosophy (Ph.D.), Electrical And Electronics Engineering from Massachusetts Institute Of Technology.
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Seeking a full-time research and development position in signal processing and machine learning for healthcare.If you would like to contact me regarding career opportunities or other matters, please email me at ambeck@mit.edu.
Listed skills include Matlab, Biomedical Engineering, Biotechnology, Pcr, and 3 others.
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Developing digital signal processing techniques for time series neuroscience data, including autoregressive and state space models, to drive innovation and understanding of mechanisms of Alzheimer's Disease and Anesthesia.
Sunnyvale, California, United States
• Evaluated physiological models and tested my own hypotheses regarding features for algorithms to provide health insights• State space modeling for physiological time series data to infer data that can't be recorded with noninvasive methods• Study design to test hypotheses based on analytical physiological modeling work• Evaluated and recommended reference devices and configurations to ensure high study data quality• Evaluated hypotheses on large human datasets
Graduate Course for Digital Signal Processing (MIT 6.341)
La Jolla, Ca
• Involved in project to build remote triage system for use under battlefield conditions for a U.S. Army contract.• Responsible for heart rate detection algorithm.• Implemented robust classification methods based on given empirical classifications.• Explored and researched several classification methods. Evaluated feasibility and made recommendations.• Designed and performed preliminary experiments to test core temperature estimation algorithms.• Created clear presentations for U.S. Army representatives explaining possible methods and feasibilities. Provided recommendation.
La Jolla, Ca
• Analyzed EMG signal data obtained from surface electrodes using MATLAB and ipython notebook• Conducted statistical analyses based on Bayesian principles to identify harmful behaviors and prevent ergonomic injury• Implemented advanced statistical methods based on physiological principles. • Collaborated on projects involving inverse optimal control and presented at lab meetings.• Presented research at ISPE Annual UCSD Poster Contest June 2015: “Ergonomics in Surgery” • Poster displayed representing UCSD at BIOtech Japan 2015 – 14th International Bio Technology Exhibition & Conference
San Jose, Ca
• Automated vital Over-the-Air wireless throughput test system to increase efficiency by a conservative 50%• Researched, designed, and implemented a flexible and scalable solution in CLI to be easily customized to new routers• Automated test system was utilized by Vendors (Broadcom and Qualcomm) to fix software bugs that affected chipset in multiple router models and brands.
La Jolla, Ca
• Processed ECG data using MATLAB, python, and Continuity software for patient-specific computational modeling of the heart, used to recommend personalized treatment options for irregular activation patterns.• Contributed to 2014 STACOM conference submission paper:Left Ventricular Diastolic and Systolic Material Property Estimation from Image Databy Adarsh Krishnamurthy, Christopher Villongco, Amanda Beck, Jeffrey Omens, Andrew McCulloch
Graduate student in the Electrical Engineering and Computer Science Department with interest in controls, neuroscience, and bioelectrical.
Thesis Title: State Space Models for Isolating Neural Oscillations
Activities and Societies: Tau Beta Pi Engineering Honor Society, International Society of Pharmaceutical Engineering (ISPE), Society.
Activities and Societies: Valedictorian, National Honor Society Treasurer and Peer Tutor, Varsity Soccer Team, Associated Student Body.
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Amanda Beck works for Purdon Lab at MGH.
Amanda Beck is listed as Doctoral Student at Purdon Lab at MGH.
AeroLeads has found 1 work email signal at @apple.com for Amanda Beck at Purdon Lab at MGH.
Amanda Beck is based in Greater Boston, United States while working with Purdon Lab at MGH.
Amanda Beck has worked for Purdon Lab At Mgh, Apple, Massachusetts Institute Of Technology, Maxentric Technologies, and Coleman Neural Interaction Lab At Ucsd.
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Amanda Beck holds Doctor Of Philosophy (Ph.D.), Electrical And Electronics Engineering from Massachusetts Institute Of Technology.
Amanda Beck is listed with skills including Matlab, Biomedical Engineering, Biotechnology, Pcr, Cell Culture, Cell Biology, and Gel Electrophoresis.
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