Work with thought leaders and academic experts in Python

Companies can benefit from working with Python experts in several ways. These experts can help in data analysis, machine learning, web development, automation, and optimization. They can develop custom software solutions, create predictive models, and improve business processes. Python experts can also assist in building scalable web applications, implementing data visualization techniques, and integrating APIs. Their expertise in data manipulation, statistical analysis, and algorithm development can provide valuable insights for decision-making. Collaborating with Python researchers can lead to innovation, improved efficiency, and competitive advantage.

Researchers on NotedSource with backgrounds in Python include Christopher Timms, Katrina Webb, Jayashree Kalyanaraman, Dr. Britain A. Mills, Ph.D., Joanne Wardell, M.S., José Paulo Marchezi, Joel Rose, Amritha Harikumar, Meridith Joyce, and Sharad Sawhney.

Christopher Timms

Dallas, Texas, United States of America
8 Years Experience
I have a doctorate from The University of Texas at Dallas. My expertise is in constructing simulations of quantum systems and have developed a quantum computing simulator on my home device. I love exploring what can be done with quantum computing.
Education

The University of Texas at Dallas

Ph.D, Computational Physics / August, 2021

Richardson, Texas, United States of America

The University of Texas at Dallas

M.S., Computational Physics / August, 2018

Richardson, Texas, United States of America
Experience

Amazon Braket

Technical Writer/Developer / February, 2022 — June, 2023

Updated the developer guide to inform customers on how to use the QPU's and simulators. Wrote quantum computing code that recreated various quantum algorithms.

The University of Texas at Dallas

Research Assistant / January, 2018 — August, 2022

Constructed simulations of a Floquet topological system known as the Anomalous Floquet-Anderson Insulator as well as simulations of NV-center qubits being used as quantum sensors.

Research Assistant / August, 2016 — May, 2018

Used machine learning along with Landsat data to forecast the pollen levels in Tulsa, Oklahoma.

Most Relevant Research Expertise
Python
Other Research Expertise (7)
Quantum Computing
Quantum Simulation
Machine Learning
Stochastic Gradient Descent
MATLAB
And 2 more
About
Christopher Timms is a highly skilled computational physicist with a Ph.D in Computational Physics from The University of Texas at Dallas. He also holds a Master of Science in computational physics from the same institution. With a strong background in physics and computer science, Christopher has a deep understanding of how to use computational methods to solve complex problems in physics. He has experience working as a Technical Writer/Developer at Amazon Braket, where he was responsible for creating technical documents and developing software tools for quantum computing. Prior to that, he worked as a Research Assistant at The University of Texas at Dallas, where he conducted research in computational physics and published several papers in peer-reviewed journals. Christopher's extensive education and experience make him a valuable asset in any team working on challenging computational physics projects.

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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, 2022 — December, 2023

Teaching laboratory sections of Physics 1 and 2

Student assistant / May, 2021 — May, 2022

Developing hardware for muon telescope

Researcher / January, 2023 — December, 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, 2022 — May, 2022

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

National high magnetic field laboratory

Reunion student / May, 2019 — August, 2019

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

CTMO

Astronomical observer / May, 2020 — December, 2020

Operated the dome at ctmo along with collecting data

Most Relevant Research Expertise
Python
Other Research Expertise (8)
Astrophysics
Physics
Theoretical physics
Computational physics
C++
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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Jayashree Kalyanaraman

Clinton, New Jersey, United States of America
17 Years Experience
Decarbonization expert with more than 10 years of experience
Education

Georgia Institute of Technology

PhD, Chemical Engineering / May, 2017

Atlanta, Georgia, United States of America

Indian Institute of Technology Madras

M.Tech, Chemical Engineering / June, 2007

Chennai

Anna University, Chennai

B.Tech, Chemical Engineering / April, 2005

Chennai
Experience

ExxonMobil Research and Engineering

Research Associate / January, 2022 — July, 2024

Advanced Carbon Capture Technologies: Advanced the development and technical readiness of carbon capture systems using liquid amines and solid adsorbents by enabling the identification of limiting phenomena in the design and operation of those systems. Data-Driven Material Discovery for Carbon Capture: Optimized the automated material discovery using physics-based models in its workflow, successfully screening thousands of active materials for post-combustion carbon capture. Design of Commercial Reactors for Blue Hydrogen: Enabled the optimal design of reactors using computational fluid dynamics (CFD) simulations. Methane to Carbon Nanotubes: Advanced the scale-up of the floating catalyst process by the development of fundamental and predictable process modes.

Senior Researcher / February, 2020 — December, 2021

Solid Oxide-Based Hydrogen Transport Membranes: Pioneered breakthrough technology by unraveling the complex interplay of ionic transport, catalytic reactions, and mass transfer on the shell side, while mastering heat transfer dynamics on the tube side, all occurring simultaneously within the membrane system.

Advanced Researcher / October, 2017 — January, 2020

Low-Energy Adsorption-Based Hydrocarbon Separation: Engineered the design of a simulated moving bed process by leveraging rigorous, first-principles-based mathematical models, optimizing system efficiency and energy use.

Georgia Institute of technology

Post Doctoral Fellow / June, 2017 — September, 2017

Air Separation Design Optimization: Developed and optimized multi-bed pressure-swing adsorption models with hollow fiber sorbent contactors for air separation, achieving performance competitive with commercial cryogenic technologies

Georgia Institute of technology

Post Doctoral Fellow / June, 2017 — September, 2017

Air Separation Design Optimization: Developed and optimized multi-bed pressure-swing adsorption models with hollow fiber sorbent contactors for air separation, achieving performance competitive with commercial cryogenic technologies

Most Relevant Research Expertise
Python
Other Research Expertise (18)
Decarbonization
Process Modeling
Adsorption based CO2 removal processes
Mass Transfer Modeling
Kinetic Modeling
And 13 more
About
A seasoned Decarbonization Researcher with over 13 years of expertise in cutting-edge decarbonization technologies and strategies. Proven track record in post-combustion carbon capture, direct air capture, and blue hydrogen generation. Specialized in low-energy hydrocarbon separation using advanced liquid adsorption techniques and membrane reactor-based methane reforming. Highly proficient in computational tools like Python (parallel computing) and MATLAB, with extensive experience in process modeling software such as gPROMS, Aspen Plus, and CFD tools like Ansys Fluent. Adept at emissions classification, Life Cycle Assessments, and driving sustainability through innovative, scalable solutions in energy and resource management.

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Dr. Britain A. Mills, Ph.D.

Weatherford, Texas, United States of America
23 Years Experience
Worth Treatment Center
Education

Ph.D., Cognitive Development / August, 2009

Ithaca, New York, United States of America

Texas Christian University

B.S., Neuroscience / May, 2000

Fort Worth, Texas, United States of America
Experience

Worth Treatment Center

Director of Health Informatics and Psychometrics / 2018 — Present

Statistical Consultant / 2015 — 2018

Faculty Associate, University of Texas School of Public Health, Dallas / 2012 — 2016

Co-Director of Tracking and Evaluation, University of Texas Southwestern Medical Center, Clinical and Translational Alliance for Research / 2010 — 2014

Research Associate, University of Texas School of Public Health, Dallas / 2009 — 2011

Graduate Research Associate, Cornell University, Department of Human Development / 2005 — 2008

Graduate Research and Teaching Associate, University of Texas at Arlington, Department of Psychology / 2001 — 2005

Most Relevant Research Expertise
Python
Other Research Expertise (14)
Structural equation modeling
Psychometric theory
Psychopathology
Addiction
Judgment and decision making
And 9 more
About
I have over 15 years of experience working with advanced statistics and managing databases for large-scale research studies and small businesses. My statistical experience includes an extensive published record using various forms of the generalized linear model (e.g., regression, logistic regression, etc.), psychometrics and scale development, methods for handling missing data (such as multiple imputation), and power analysis. I am proficient with Stata, Python, and Mplus, and I have experience with Tableau, R, SAS, SPSS, and various other software packages. Throughout my career, I have applied this expertise in varied data contexts, including large epidemiological national surveys, experimental data, longitudinal/repeated measure studies, clinical data, and randomized controlled trials. My history of peer-reviewed publication is a testimony to these technical qualifications and documents dozens of successful collaborations with different individuals across multiple projects and institutions.  My experiences working with researchers, clinicians, and other professionals has honed my communication skills and ability to translate complex data into actionable insights for varied audiences. I also understand how to practically apply these experiences in a business context.  In my most recent position at Worth Treatment Center, I led clinic’s neuropsychological testing program and spearheaded the automation of a data pipeline to streamline patient care.  This pipeline transformed electronic form data (e.g., for tests, intakes, & progress notes) into actionable physician decision-aides and integrated patient scheduling and communications.  At the touch of a button, clinic psychiatrists can now generate a report visualizing changes in a patient’s self-reported symptoms alongside changes in their prescribed medications, or that statistically compare a patient’s test score with clinic and national norms.  By streamlining our clinic’s data workflow, these systems decreased the time physicians spent on extraneous aspects of progress notes by 50% and led to a fourfold reduction in the time staff spent on billing and scheduling. Throughout my career, I have particularly enjoyed my experiences in two recurring contexts.  During scientific peer review, I have always relished the challenge of defending my analytic approach with principled, reasoned arguments amongst experts.  Similarly, the process of helping colleagues outside my areas of substantive expertise gain insights into their own data and research – for example, by helping them map their ideas onto quantitative modeling frameworks or visualize patterns that aren’t immediately apparent in the raw data – has always been especially satisfying.  I am interested in opportunities to provide my expertise on problems like this.

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Joanne Wardell, M.S.

4 Years Experience
Ph.D student at the Georgia State University/Georgia Institute of Technology/Emory University Center for Translational Research in Neuroimaging and Data Science (TReNDS) center
Education

Georgia State University

Ph.D., Computer Science / May, 2027 (anticipated)

Atlanta, Georgia, United States of America

Valdosta State University

B.S., Computer Science / May, 2019

Valdosta, Georgia, United States of America
Experience

TReNDS Center

Graduate Research Assistant / January, 2023 — Present

Georgia State University

Graduate Teaching Assistant / January, 2022 — January, 2023

Engineers' Consulting Group

Associate Member of Technical Staff / — June, 2019

Most Relevant Research Expertise
python
Other Research Expertise (8)
machine learning
deep learning
predictive neuroimaging
pytorch
mentorship
And 3 more
About
Joanne Wardell is a computer scientist with a strong passion for research and teaching. She receives her Ph.D. in Computer Science from Georgia State University in 2027, where she specializes in artificial intelligence and machine learning. She also holds a B.S. in Computer Science from Valdosta State University, graduating in 2019 with honors. Throughout her academic career, Joanne has excelled in both her research and teaching roles. As a Graduate Research Assistant at the TReNDS Center, she has contributed to several projects focused on using machine learning techniques to analyze brain imaging data. Her work has been published in top journals and presented at international conferences. In addition to her research, Joanne has also been a dedicated Graduate Teaching Assistant at Georgia State University, where she has taught various undergraduate and graduate courses in computer science. She is known for her excellent communication skills and ability to make complex concepts easy to understand for her students. Joanne has also gained practical experience in the industry as an Associate Member of Technical Staff at Engineers' Consulting Group. Here, she worked on developing software solutions for clients in various industries, further honing her programming and problem-solving skills. With her strong academic background and diverse experience, Joanne is well-equipped to take on new challenges and make valuable contributions in the field of computer science. She is committed to using her skills and knowledge to advance the field and inspire the next generation of computer scientists.

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José Paulo Marchezi

8 Years Experience
Postdoctoral Research Assistant at University of New Hampshire
Education

Instituto Nacional de Pesquisas Espaciais

PhD, Geofísica Espacial / May, 2020

Sao Jose dos Campos

Instituto Nacional de Pesquisas Espaciais

Master Degree, Geofísica Espacial / March, 2016

Sao Jose dos Campos

Universidade Federal de Santa Maria

Full Degree Physics, Physics / January, 2014

Santa Maria
Experience

University of New Hampshire

Postdoctoral Research Assistant / August, 2022 — August, 2024

State Key Laboratory for Space Weather, INPE

Post Doctoral Fellow / March, 2021 — August, 2022

Frontier Development Lab

Researcher / June, 2022 — August, 2022

Most Relevant Research Expertise
Python
Other Research Expertise (11)
Earth's Magnetic field
Space Physics
Van Allen Radiation Belts
Wave Particle Interaction
Geophysics
And 6 more
About
José Paulo Marchezi is a highly educated and experienced space physics researcher with a strong physics and data science background. He received his Ph.D. in Space Physics from Instituto Nacional de Pesquisas Espaciais in 2020 after completing a Master's degree in the same field in 2016. He also holds a Full Degree in Physics from Universidade Federal de Santa Maria, which he obtained in 2014. José has gained valuable research experience throughout his career by working at various prestigious institutions. He has served as a postdoctoral research assistant at the University of New Hampshire, a postdoctoral fellow at the State Key Laboratory for Space Weather at INPE, and a researcher at Frontier Development Lab. He has also held positions as a Postdoctoral Fellow and Ph.D. Researcher at the National Institute for Space Research. José's data science and space physics expertise led him to work on important projects, including researching space weather and developing predictive models for space events. He has also worked as a Data Scientist at Dom Rock, where he used his skills to analyze and interpret large amounts of data. In addition to his research and academic work, José has also gained valuable experience as a Visitor Researcher at Goddard Space Flight Center, where he collaborated with other scientists and researchers from around the world. With his strong education and diverse research experience, José Paulo Marchezi is a valuable asset to any team in the field of geofísica espacial and data science.

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Joel Rose

Hooks, Texas, United States of America
9 Years Experience
Experienced Senior Machine Learning Engineer
Education

Seattle University

Master's Science, Computer Science

Seattle, Washington, United States of America
Experience

Samsung

Senior Machine Learning Engineer / 2022 — 2024

Most Relevant Research Expertise
Python
Other Research Expertise (1)
Machine learning
About
A Senior Machine Learning Engineer with 8 years of experience in this field. Expertised in Machine Learning, Deep Learning, Large Language Model, Natural Language Processing, Retrieval Augumented Generation, Computer Vision and Data Engineering. Specializing in recommendation engines, predictive analysis system, chatbots, document processing and risk assesment model, combined with a deep understanding of supervised learning, unsupervised learning and reinforcement learning.

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Amritha Harikumar

7 Years Experience
PhD Candidate in Cognitive and Affective Neuroscience with extensive publications in cognitive neuroscience/AI/fMRI and SPECT imaging
Education

Georgia State University

PhD Candidate, Psychology | Cognitive and Affective Neuroscience / May, 2026 (anticipated)

Atlanta, Georgia, United States of America

San Diego State University

MA, Psychology | Behavioral and Cognitive Neuroscience / May, 2018

San Diego, California, United States of America

University of Tulsa

BS, Psychology, Biology Minor / May, 2015

Tulsa, Oklahoma, United States of America
Experience

Massachusetts General Hospital | Harvard Medical School

Clinical Research Coordinator II / June, 2018 — June, 2020

Rice University

Lab Manager / August, 2020 — July, 2021

Most Relevant Research Expertise
Python
Other Research Expertise (11)
Cognitive Neuroscience
Psychology
SPECT
fMRI
ICA
And 6 more

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Meridith Joyce

Computational astrophysicist at the Australian National University working on precision numerical models of stars.More info at: www.meridithjoyce.com
Education

Dartmouth College

Research Expertise (0)
About
numerical modeling, data analysis, scientific software development, scientific writing, simulations on high performance computers

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Sharad Sawhney

Education

Northeastern University

Research Expertise (0)

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Example Python projects

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

Predictive Analytics for Sales Forecasting

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Automated Data Analysis and Reporting

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Web Scraping and Data Extraction

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Machine Learning for Customer Segmentation

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Optimization of Business Processes

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