Gerald Harp, Ph.D. Physics Email and Phone Number
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My passion for science feeds on participating in nascent and promising technological endeavors, such as AI, neural networks, natural language processing, large-scale multi-processor software, and high-speed scientific computing. My contributions span many knowledge domains, including health care and behavioral science, gaming, astrophysics, materials science, and quantum physics, using scientific thinking and tools across domains.I am well-versed in Fourier-based and machine-learning methods offered by Scikit/SKLearn for data analysis via logistic and nonlinear regression, principle/independent component analysis, unsupervised, supervised, and reinforcement learning, and generative/discriminative modeling. Extensive experience with time series: noise and artifact rejection, weak signal detection, adaptive/nonlinear deconvolution, and predicting signals into the future. Expert in interferometry, machine-aided holographic source reconstruction, the direction of arrival detection, and super-resolution imaging.Technical skills: Application development with Python, Java, C++ and C, and PyTorch for neural networks in linux and windows operating systems.Soft skills: Known for steady communication with an ability to adapt, collaborative bridge-building teamwork, and effective project management. Communication:• Verbal communication skills documented by 200+ presentations• Writing skills documented by 150+ publications • Cross-cultural in English, French (near fluent), and some German.Project Management:• Planned, defined cost, developed, and managed 30+ successful multi-application projects, one of which led to a successful patent.• Designed and beta-tested software data intake in collaboration with the hardware team and other scientists. Scaled it from the ground up for a new, 4-million-dollar telescope array including controls, data acquisition, computer vision, and data analysis.• Scoped, developed, and optimized risk prediction models for example, for suicide and crime prevention with populations of 800M and 2M.Collaboration: • Directed a research institute, working with scientists, engineers, interns, and other staff teams on the effective deployment of a 100K/yr. budget. Furthered productivity through collaborations with external stakeholders (e.g. IBM, Google, UC Berkeley, NSF) such as through a Hackathon. Obtained the international Bruno Award.• Directed successful grant requests and acquisitions totaling 4.5 million, including the prestigious young investigator award.
Algorithmx
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Lead ConsultantAlgorithmx Sep 2005 - PresentPlatforms and Languages: OpenMP, Java, Python, Pytorch, C, C++, some Ruby, some SQL, MathLab, Mathematica, Threading Building Blocks, FORTRAN, Linux, Windows. Domains and Expertise: Machine learning and Automation, Deep Learning, High-Speed Processing, Parallel Processing, Quantum Physics, Condensed Matter, Artificial Intelligence, Health Care and Behavioral Data, Astrophysics, Big Data Analytics, Material Science, Radio Frequency Techniques, Microscopy, Interferometry.• Expert consultant, prototyping lunar interferometry proof of principle for Principia College Institute.• Panel reviewer, National Science Foundation, to provide guidance on the next-generation processing systems to support.• External technical reviewer on a panel member at Jet Propulsion Laboratory.• External technical reviewer on a panel member at Very Large Array Radio telescope.• Expert consultant on application to troubleshoot magnetism issue for ABB (ASEA Brown Boveri).• Design review panel expert, next-generation digital processing system – UC Berkeley Department of Physics and Astronomy.
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Sr. Data ScientistPeraton Labs Jan 2021 - Nov 2022Basking Ridge, New Jersey, UsMachine learning using Numpy, Pandas, Sklearn making Predictive Models of suicide risk. Isolated 80% of adults classified as high risk into only 20% of full population.Deep learning using Pytorch and creating a Limited Boltzmann Machine (i.e. Neural Network) -- subject matter is classified.Natural Language Processing study of female sentiments of discrimination in the workplace. Clustered perceptions into 3 groups identified by discovered keywords. This was a prototype development project.Natural language processing toolkit (NLTK).Prototyped a speech to text application to transcribe classified debriefing interviews of Army soldiers. Used open-source Vosk library for python. -
Staff Data Scientist - Machine LearningResearch Facilitation Laboratory, Northrup Grumman Jan 2019 - Dec 2021• Discriminative classification with nonlinear regression, logistic regression, tree models (XGBoost), and convolutional neural networks. • Applications to adapt data with unbalanced minority/majority class datasets, working with privacy-sensitive health care and behavioral data using techniques such as neural networks and supervised or unsupervised learning to detect harmful behavior.• Fitted parameter confidence levels were determined analytically or via multi-fold cross-validation. Optimization as needed.• Realistic synthetic data generation with generative joint-probability distributions, local linear embedding, neural networks using autoencoders (VAEs), and data generative adversarial networks (GANs).• Time series analysis for pattern discovery and extrapolation to future times. Analysis of multi-sensor data with disparate data acquisition rates.• Noise suppression with Fourier methods, principal/independent component decomposition, artifact elimination via projections of known signal types and pattern matching. • Expert in digital image processing, Fourier, and projection-based deconvolution. Chemical-sensitive contrast enhancement. Interferometric source reconstruction from diffraction data, and nonlinear adaptive deconvolution for super-resolution imaging.
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Director Of Research (2012-18), Senior Astrophysicist And Software Scientist (2000-12)Seti Institute May 2000 - Sep 2018Mountain View, California, UsDirector of SETI Research (12-18), Senior Astrophysicist (10-12), Astrophysicist (09-10), Senior Software Scientist (00-09). Research with radio-frequency signals. Design and implement experimental tests of instruments for calibration, software, and hardware development, large database cleaning and merging, and scientific purposes.• Partnering with IBM at SF venue, led Hackathon / Code Challenge to develop neural networks that discover intelligent signals buried in astronomical data, i.e. the search for extraterrestrial intelligence. • Created Deep Convolutional Neural Networks (CNNs) for High-Fidelity Images from Radio Interferometer Data (e.g. detected Fast Radio Bursts). • Simulated radio signals using Wide Residual Neural Networks with Machine Vision and Deep Learning to classify signals.• Led two successful Air Force research projects for satellite astrometry and as a receiver in a bistatic radar space debris tracking. Accomplished on time and met goals, working with teams of direct and dotted line reports. • Led dozens of studies using a variety of techniques (e.g., polarization squint, dish surface characterization, beam analysis, testing ground shields).• Worked with digital hardware and software engineers and academics to prove and improve ATA functionality. Obtain research funding that led to numerous peer-reviewed publications.• Studied the Array’s ability to produce “negative” beams for data cleanup and cancellation of signals from satellites. Automated control and ultra-high-speed digital processing to isolate weak signals.• Co-project lead on ATA monitor and control. Built a state-of-the-art interferometer control system, achieving significant milestones (first fringes, tracking, holography). • Co-project lead for RPA software monitor and control. Built correlator. Turned inexpensive satellite dishes into an imaging interferometer, prototyping the ATA. • Honored as the 2012 recipient of the International Giordano Bruno award. -
Senior Staff ScientistComputer Graphics Systems Development Corporation 1999 - 2000Project leader with direct reporting staff on multiple contracts, including those for DoD and NEC Japan. Led team of young software engineers in using large datasets for the development of a prototype virtual reality simulator for visualization of 2D and 3D object motion modeling and use in military flight simulators and commercial game-style simulators.
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Assoc. Professor Of PhysicsOhio University 1994 - 2000Athens, Ohio, UsAs professor of physics at Ohio University, awarded prestigious NSF Career Grant 1996. From NSF home website: “The Faculty Early Career Development (CAREER) Program … offers the National Science Foundation's most prestigious awards in support of the early career-development activities of those teacher-scholars who most effectively integrate research and education within the context of the mission of their organization.• Built state-of-the-art lab comprising a custom vapor deposition system, novel electron diffraction and photoemission instrumentation, x-ray diffraction, and magnetometers for ex-situ analysis.• Designed and built several novel research instruments including, an ultra-high vacuum cryogenically pumped sputter deposition system to create 2D atomic structures and study magnetic properties of artificial atomic superlattices. A second attached UHV chamber added in-situ characterization including LEED and a prototype retarding field angle-resolved X-ray photoemission spectrometer. • Updated hardware and added automation to magneto-optical Kerr magnetometer. Updated and automated a 2-axis x-ray diffractometer for use with single-crystal films. Built multiple synchrotron-based UHV systems to perform x-ray absorption, x-ray magnetic circular dichroism, and x-ray magnetic linear dichroism on pre-characterized films generated in the laboratory.• Served as senior advisor for 4 successful Ph. Ds and 1 master’s degree student who are all presently employed in fields relating to their research. • Achieved tenure in record time (five years). -
Post Doctoral Studies - Ibm Almaden Research CenterIbm 1991 - 1993Armonk, New York, Ny, UsWorked on magnetism and magnetic properties through control of crystal structure in ultrathin metallic superlattices. • Developed new methods to prepare magnetic/non-magnetic superlattices in metastable crystal structures and study their magnetic, structural, and electronic properties.• Pioneered the use of polarized x-ray absorption spectroscopy to study physical and electronic structure effects on magnetism in such materials.• Rebuilt and automated dual-axis angle-resolved photoelectron spectrometer. Wrote numerous peer-reviewed publications with colleagues research scientists.• Developed a New Chemically Ordered Alloy characterized through Magneto-Optical Kerr Spectroscopy.• Studied the Growth Temperature Dependence of Magnetoresistance Superlattice Wedges.
Gerald Harp, Ph.D. Physics Skills
Gerald Harp, Ph.D. Physics Education Details
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University Of Wisconsin-MilwaukeeMinor Chemistry -
University Of Wisconsin-MilwaukeePhysics
Frequently Asked Questions about Gerald Harp, Ph.D. Physics
What company does Gerald Harp, Ph.D. Physics work for?
Gerald Harp, Ph.D. Physics works for Algorithmx
What is Gerald Harp, Ph.D. Physics's role at the current company?
Gerald Harp, Ph.D. Physics's current role is AI, Machine Learning, Neural Networks, Data Science, Algorithmic Modeling, Natural Language Processing, Digital Image Processing, Computer Vision, Spectroscopy, Interferometry, GANs and Autoencoders (VAEs).
What is Gerald Harp, Ph.D. Physics's email address?
Gerald Harp, Ph.D. Physics's email address is gh****@****eti.org
What schools did Gerald Harp, Ph.D. Physics attend?
Gerald Harp, Ph.D. Physics attended University Of Wisconsin-Milwaukee, University Of Wisconsin-Milwaukee.
What are some of Gerald Harp, Ph.D. Physics's interests?
Gerald Harp, Ph.D. Physics has interest in Education.
What skills is Gerald Harp, Ph.D. Physics known for?
Gerald Harp, Ph.D. Physics has skills like Physics, Science, Experimentation, Astrophysics, Astronomy, Algorithms, Scientific Computing, Image Processing, Latex, Numerical Analysis, Research, Statistics.
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