Work with thought leaders and academic experts in Physics

Companies can greatly benefit from working with experts in the field of Physics. These researchers bring a unique perspective and skill set that can enhance innovation, problem-solving, and technological advancements. Here are five ways companies can collaborate with academic researchers in Physics: 1. Research and Development: Academic researchers can contribute to the development of new technologies, materials, and processes. Their expertise in Physics can help companies solve complex problems and create innovative solutions. 2. Data Analysis: Physics researchers are skilled in analyzing large datasets and extracting meaningful insights. Companies can leverage their expertise to analyze and interpret data, leading to informed decision-making and improved business strategies. 3. Product Design and Optimization: Physics researchers can provide valuable input in the design and optimization of products. Their understanding of fundamental principles can help companies create more efficient and effective products. 4. Simulation and Modeling: Academic researchers in Physics have expertise in simulation and modeling techniques. Companies can collaborate with them to simulate real-world scenarios, test hypotheses, and optimize processes. 5. Training and Education: Physics researchers can provide training and education to company employees. They can conduct workshops, seminars, and training programs to enhance the technical skills and knowledge of the workforce.

Researchers on NotedSource with backgrounds in Physics include Keiran Thompson, Joshua Cohen, Katrina Webb, Keisha Walters, Siddharth Maddali, Jim Samuel, Ryan Howell, Juan Ignacio Peralta, Dr. Ekaterina Ponizovskaya Devine, Ben Bartlett, Tej Lamichhane, and Mengying Li.

Joshua Cohen

Cincinnati, Ohio, United States of America
9 Years Experience
PhD in Physics Applies Scientific Expertise to Develop ML Models for Diverse Applications
Education

Tufts University

Ph.D., Physics / July, 2018

Medford, Massachusetts, United States of America
Experience

Clarigent Health

Chief Scientific Officer / January, 2022Present

•Leads team's scientific and technical efforts for company focused on identifying mental health risks from speech data •Direct clinical mental health data collection for machine learning model development, validation, and utility assessment •Heads communication of scientific achievements through peer-reviewed publications and conference presentations

Director of Data Science / September, 2020January, 2022

•Invented novel quantitative methods to drive product changes and improve end-to-end customer experience (e.g., automatic speaker identification, transcript quality assessments, and on-topic speech detection) •Developed customer facing dashboard and data model in Microsoft PowerBI to communicate sensitive patient data •Published 2 first author articles validating machine learning models and presented findings at international conference •Principal Investigator for Phase I NIH SBIR grant investigating and mitigating machine learning model bias •Oversaw interviewing, onboarding, training, and daily tasks of 5 data scientists

Senior Data Scientist / September, 2019September, 2020

Developed and deployed ML models in Python to identify suicidal risk, depression, and anxiety from speech data •Experimented with various ML approaches (e.g., SVM, RF, and ANN) to improve model performance •Utilized advanced NLP (e.g., word embeddings and sentiment analysis) to extract meaningful features and improve accuracy •Designed and implemented ETL pipelines to efficiently extract, transform, and load large volumes of speech data

Freelance

Data Scientist / January, 2019September, 2019

Developed models to predict mouse sleep states (sleep, REM, wake) from brain and muscle signals with 96% accuracy

UES at Air Force Research Labs

Research Scientist / August, 2018September, 2019

•Lead R&D program for medical countermeasures of directed energy in 711th HPW/Force Health Protection Branch •Principal Investigator: Feasibility of Deployed Medical System Hardening to Directed Energy, In-Vitro Cellular Response to Directed Energy, Rapid Environmental Site Assessment with Readily Available Biomaterials •Characterized emissions from ammunition causing health issues with microscopic, spectroscopic, and statistical analysis

Research Expertise (2)
Public Health, Environmental and Occupational Health
Physical and Theoretical Chemistry
About
I am a highly motivated individual with expertise in various artificial intelligence (AI) tools, including machine learning (ML) and natural language processing (NLP). Over the course of my academic and professional career, I have developed a strong skill set in these areas, and have applied them to various domains, including mental health. At Clarigent Health, I have played a key role in developing and improving machine learning models that analyze patient speech to identify mental health concerns such as depression, anxiety, and suicide risk. In addition, I have been the principal investigator on a NIMH SBIR grant investigating machine learning model performance across different patient characteristics and settings. Moreover, I have experience in developing and implementing customer-facing dashboards using tools like PowerBI, which enable clients to interact with and derive insights from complex data sets. Through my work at Clarigent Health, I have been able to leverage my expertise in ML, NLP, and other AI-related tools to drive innovation and improve mental health outcomes through data-driven solutions.

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Katrina Webb

Seattle, Washington, United States of America
8 Years Experience
Future theoretical physicist
Education

Texas Tech University

NA, Physics / May, 2027 (anticipated)

Lubbock, Texas, United States of America

Texas Tech University

Bs, Physics / May, 2022

Lubbock, Texas, United States of America
Experience

Texas tech university

Teaching assistant / September, 2022December, 2023

Teaching laboratory sections of Physics 1 and 2

Student assistant / May, 2021May, 2022

Developing hardware for muon telescope

Researcher / January, 2023December, 2023

Creating a galaxy after a supernovae explosion to see if that is why the x ray binaries are located strangely in some galaxies in c++ and python for graphs.

Researcher quantum pedagogy / January, 2022May, 2022

Helped research the teaching of relativistic quantum to undergraduate students using a new method

National high magnetic field laboratory

Reunion student / May, 2019August, 2019

FEM simulations using comsol multiphysics for a new variation of a duplex magnet

CTMO

Astronomical observer / May, 2020December, 2020

Operated the dome at ctmo along with collecting data

Most Relevant Research Expertise
Physics
Other Research Expertise (8)
Astrophysics
Theoretical physics
Computational physics
C++
Python
And 3 more
About
Katrina Webb is a highly educated and experienced physicist with a passion for teaching and research. She received her BS in Physics from Texas Tech University in 2022, followed by continuing in the physics PhD program at the same university in 2022. During her time at Texas Tech, she worked as a teaching assistant and student assistant, gaining valuable experience in the classroom and laboratory settings. She also conducted research in various areas, including quantum pedagogy and astronomy, and participated in the High Scholars Research Program at the University of Texas Rio Grande Valley. Katrina's passion for physics and education led her to further her studies and research at the National High Magnetic Field Laboratory, where she worked as a Reu Student. She also gained experience as an astronomical observer at CTMO and continued her research at Texas Tech University. With a strong background in both theoretical and experimental physics, Katrina is a well-rounded and knowledgeable physicist. She is dedicated to sharing her knowledge and skills with others, and her experience in teaching and research has prepared her to effectively communicate complex concepts and ideas. Katrina is committed to making a positive impact on the field of physics and inspiring the next generation of scientists.

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Keisha Walters

Fayetteville, Arkansas, United States of America
27 Years Experience
University of Arkansas
Education

Clemson University

PhD, Chemical Engineering / 2005

Clemson, South Carolina, United States of America

Clemson University

BS, Biological Sciences / 1996

Clemson, South Carolina, United States of America

Clemson University

M.S., Chemical Engineering / May, 2001

Clemson, South Carolina, United States of America
Experience

University of Arkansas College of Engineering

Endowed Chair and Professor of Chemical Engineering / August, 2021Present

University of Oklahoma

Professor of Chemical, Biological and Materials Engineering / 20162021

Developing a world-class research program in stimuli reponsive polymers and polymer-grafted nanoparticles for biomedical, energy, and environmental applications. Committed to balance and excellence in research scholarship, teaching scholarship, and service to the profession. Passionate about instilling a love of learning and curiosity about how the world works physically in future generations.

Mississippi State University

Professor of Engineering / 20052016

Professor of Chemical Engineering who is committed to research, teaching, and service. My research is focused on polymer and nanoparticle-based material design, including ‘smart’ stimuli responsive polymers, polymer-nanoparticle constructs for biomedical and energy applications, and bio-based products such as polymers and fuels.

Research Expertise (35)
Materials Chemistry
Inorganic Chemistry
Polymers and Plastics
Organic Chemistry
Fluid Flow and Transfer Processes
And 30 more
About
Her research covers a broad range of topics in polymer- and nano-based materials engineering and transport modeling, which has been published in 110+ refereed technical manuscripts and presented at numerous national and international conferences. Dr. Walters’ work has been sponsored by government agencies including NSF, DOE, and DOD, and by industry partners.

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Siddharth Maddali

Fremont, California, United States of America
8 Years Experience
Computational physicist with a specialization in X-ray and optical imaging and microscopy for condensed matter and materials systems.
Education

Carnegie Mellon University

PhD, Physics / May, 2016

Pittsburgh, Pennsylvania, United States of America

Carnegie Mellon University

MS, Physics / May, 2011

Pittsburgh, Pennsylvania, United States of America

Indian Institute of Technology Madras

M.Sc, Physics / May, 2009

Chennai
Experience

KLA (United States)

Research Scientist / November, 2022Present

Sensitivity enhancement of optical inspection of semiconductor wafers

Argonne National Laboratory

Staff Scientist / October, 2019September, 2022

(1) Imaging: Inverse problems for 3D nanoscale materials imaging using coherent X-ray probes. (2) Time-resolved studies: Signal processing methods for XPCS at free electron laser facilities. (3) Experiments: POCs & demonstrations for the above at APS/future APS-U instruments. (4) Fundraising: Research grants (LDRD, DoE), APS, ESRF user-time proposals. (5) Dissemination/Outreach: Publications, peer review, editorship, conferences, tech reports. (6) Mentoring/Organization: Postdocs, students (unofficial), workshop planning/chairing.

Post-doctoral researcher / January, 2017September, 2019

National Energy Technology Laboratory

Postdoctoral Fellow / May, 2016November, 2016

Machine learning -driven materials discovery of steel alloys for optimized power plant components

Most Relevant Research Expertise
physics
Other Research Expertise (21)
Computational microscopy
Fourier/physical optics
signal processing
HPC
Electrical and Electronic Engineering
And 16 more
About
Computational materials, imaging and microscopy scientist with **8 years combined experience** in industry and national laboratories. Expert in physics-based imaging and characterization with X-rays and optical probes, high-performance computing for light-matter interaction and materials data analysis. Experienced in machine learning for materials discovery. Previous experience at the National Energy Technology Laboratory, Argonne National Laboratory and KLA Corporation. <br>

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Jim Samuel

11 Years Experience
Associate Professor at Rutgers University
Education

Baruch College

PhD, Information Systems / 2007

New York, New York, United States of America
Experience

Rutgers University

Associate Professor / 2021Present

Axivest

CIO / 2012Present

Research Expertise (22)
Analytics
Artificial Intelligence
Informatics
Machine Learning
NLP NLU NLG Behavioral Finance
And 17 more
About
Jim Samuel is an Associate Professor of Practice and Executive Director of the Informatics Program at the Bloustein School. He is an information and artificial intelligence (AI) scientist, with significant industry experience in finance, technology, entrepreneurship and data analytics. Dr. Samuel’s primary research covers human intelligence and artificial intelligences interaction and information philosophy.  Dr. Samuel’s applied research focuses on the optimal use of big data and smart data driven AI applications, textual analytics, natural language processing and artificially intelligent public opinion informatics. His expertise extends to socioeconomic implications of AI, applied machine learning, social media analytics, AI education and AI bias. Dr. Samuel completed his Ph.D. from the Zicklin School of Business, Baruch College – City University of New York, and he also has M.Arch and M.B.A (International Finance) degrees.  Dr. Samuel has worked with large multinational financial services corporations, and advises businesses and organizations on data analytics and AI driven value creation strategies. He is passionate about research driven thought leadership in AI, information philosophy, analytics and informatics. 

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Juan Ignacio Peralta

Caseros
8 Years Experience
Astrophysicist in the area of atomic models for atmospheric models of stars. I'm interested in AI for research too.
Education

Universidad de Buenos Aires

Ph.D., Astrophysics / May, 2024 (anticipated)

Buenos Aires
Experience

CONICET

PhD scholarship / April, 2017August, 2023

Doctoral Internship at Instituto de Astronomía y Física del Espacio (IAFE) in the Universidad de Buenos Aires (UBA)

Universidad de Tres de Febrero (UNTREF)

Head of practial works professor in Physics Laboratory / March, 2016Present

Position as a teacher in the physicis laboratory at the Universidad de Tres de Febrero (UNTREF)

Computer and laboratory equipment maintenance / March, 2016Present

PC hardware and software maintenance. Keep the equipment inventory updated

Most Relevant Research Expertise
Physics
Other Research Expertise (2)
Astrophysics
Stellar atmospheric models
About
I hold a PhD in astrophysics, with expertise in mathematics, data analysis, Python programming, SQL database management. My experience includes presenting at conferences, publishing in international journals, and conducting outreach talks. I've taught at both high school and university levels. More details in the resume. My pursuit is driven by a great curiosity about fundamental aspects of the universe. I narrowed that curiosity to the Space and Artificial Intelligence areas. Currently, I am looking for job opportunities (remote or on-site) or postdoctoral opportunities abroad, to advance my research and contribute scientifically in space exploration and AI. I am open to explore diverse career paths, but in excellent working environments, collaborative, and with professionals who share my dedication.

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Dr. Ekaterina Ponizovskaya Devine

24 Years Experience
University of California, Davis
Education

Moscow Engineering Physics Institute

Ph.D., Applied Physics / January

Moscow
Experience

University of California, Davis

Consultant / October, 2018Present

W&Wsens Devices Inc

Principal Scientist / October, 2014Present

Montana State University

Research Scientist / November, 2020July, 2022

Most Relevant Research Expertise
Physics
Other Research Expertise (3)
Photonics
Optics
Quantum communication
About
I am interested in new technology in optics, photonics, and quantum systems. I am motivated to find new solutions and develop new applications, constantly learning and improving my skills. I have a strong background in Physics and experience solving Multiphysics problems numerically with commercial software and using in-house code. I have experience with experimental equipment and automation. • Optics and Photonics. Design, modeling, and theoretical simulations and experiments for photonics components from UV to IR (high-speed photodetectors, metasurface structures, APD, SPAD, laser, VCSEL, lenses, interconnectors, sensors, fibers) for communications, sensors, image sensors, and quantum applications. Signal and image processing, temporal and special noise, stochastic process, stochastic resonance. Digital holography, wavefront reconstruction. Digital holography. Multi-physics simulation, non-linear optics. • Numerical methods (Monte-Carlo, FDTD, FEM, FFT, RCWA, BPM, TMM) for modeling complex multi-physics simulations, sparse matrices, ordinary and partial differential equations. Signal processing algorithms, machine learning, optimization, modeling probability distribution, time-dependent density functional theory, non-equilibrium Green’s functions. C++, Python, Matlab , Commercial software: Lumerical, Comsol, Zemax, Silvaco, LabVIEW, computer clusters parallel coding with CPU, parallel programming with CUDA and GPU. • New materials: quantum dots, photonic crystals, 2D materials, negative index materials, chirality, broken RT-symmetry, and non-Hermitian structures. Si, Ge, and III-V semiconductors. Turbulence, Mie and Raman scattering. • Quantum communication and quantum computing. Quantum to a classical interface. Quantum networks and Quantum Key Distribution system with noise and crosstalk. Quantum communication protocoles. • Experience with optical lab equipment, experiment automation, experimental setup, and alignment, data processing. Electrical and optical testing and data analysis. • Automation of a variety of systems, optical, cryogenic fuel loading, and storage systems. Physics-based models for a variety of physical systems (optics, photonics, fluid and gas dynamics, two-phase flow, cavitation). Prognostics for automated systems for NASA, using machine learning in combination with physics-based models. • Patents and publications in peer-reviewed journals: over 150 publications, conferences presentations at IEEE, APS, Optics https://scholar.google.com/citations?user=wpEXwjwAAAAJ&hl=en • Supervising students

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Tej Lamichhane

Boston, Massachusetts, United States of America
3 Years Experience
Postdoctoral Associate | Massachusetts Institute of Technology | Nuclear Science and Engineering
Education

Iowa State University

PhD, Physics and Astronomy / December, 2019

Ames
Experience

Oak Ridge National Laboratory

Postdoctoral research associate / October, 2019Present

Research Expertise (0)
About
Experience, research and interests include: Additive manufacturing of bonded permanent magnets Additive manufacturing of hybrid Halbach arrays and design Additive manufacturing of brushless permanent magnet motor and magnetic properties simulations using EMworks software package Synthesized several (more than 15) types of inter-metallic single crystalline, poly-crystalline, and nano-materials samples Maintained and used Vibrating Sample Magnetometer (VSM) for 5 years to measure low (down to 50 K) and high temperature ( up to 1000 K) magnetic and transport properties Characterized these samples using XRD, SEM, resistivity, TGA, and DSC Published 10 peer-reviewed journals as a lead author and working for 4 more Co-inventor of the two provisional patents An experienced physics teacher, lab mentor for graduate and undergraduate students Interested in public speaking and social service A clean-handed experimentalist maintained lab safety and equipment properly Can design, plan, execute, data analyze, and write a manuscript of a research project independently Good research collaboration experience, adaptable to diverse working conditions Self-motivated, goals oriented researcher Enjoy critical thinking, instrumentation, and outdoor exercises Additive manufacturing of bonded permanent magnets Additive manufacturing of hybrid Halbach arrays and design Additive manufacturing of brushless permanent magnet motor and magnetic properties simulations using EMworks software package Synthesized several (more than 15) types of inter-metallic single crystalline, poly-crystalline, and nano-materials samples Maintained and used Vibrating Sample Magnetometer (VSM) for 5 years to measure low (down to 50 K) and high temperature ( up to 1000 K) magnetic and transport properties Characterized these samples using XRD, SEM, resistivity, TGA, and DSC Published 10 peer-reviewed journals as a lead author and working for 4 more Co-inventor of the two provisional patents An experienced physics teacher, lab mentor for graduate and undergraduate students Interested in public speaking and social service A clean-handed experimentalist maintained lab safety and equipment properly Can design, plan, execute, data analyze, and write a manuscript of a research project independently Good research collaboration experience, adaptable to diverse working conditions Self-motivated, goals oriented researcher Enjoy critical thinking, instrumentation, and outdoor exercises <br>

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Example Physics projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Physics?

Optimizing Solar Panel Efficiency

A company in the renewable energy industry can collaborate with a Physics expert to optimize the efficiency of solar panels. The researcher can analyze the physics behind solar energy conversion and suggest improvements in panel design and material composition.

Improving Semiconductor Manufacturing Processes

A semiconductor manufacturing company can work with a Physics researcher to improve their manufacturing processes. The researcher can apply principles of Physics to analyze and optimize the deposition, etching, and lithography processes, leading to higher quality and more efficient semiconductor devices.

Developing Quantum Computing Algorithms

A technology company interested in quantum computing can collaborate with a Physics expert to develop advanced algorithms. The researcher can apply principles of quantum mechanics to design algorithms that can solve complex problems more efficiently, opening up new possibilities in computing.

Enhancing Medical Imaging Techniques

A medical imaging company can partner with a Physics researcher to enhance their imaging techniques. The researcher can apply principles of Physics to improve image resolution, reduce noise, and develop new imaging modalities, leading to more accurate diagnoses and better patient care.

Optimizing Energy Storage Systems

An energy storage company can collaborate with a Physics expert to optimize their energy storage systems. The researcher can analyze the physics of energy storage and suggest improvements in battery design, materials, and charging/discharging processes, leading to more efficient and reliable energy storage solutions.