Work with thought leaders and academic experts from City University of New York

Priscilla Bustamante, M.A., M.Phil.

Ph.D. Candidate in Critical Social Psychology with research experience on intersectional equity and publications on policing
Experience

Public Science Project

Research Associate / September, 2014Present

Lead a participatory, action-oriented, mixed methods research project on intersectional equity in partnership with a diverse coalition of 200+ community organizations in New York City; oversee research project design, qualitative and quantitative data collection and analyses, and the preparation of external reports and public-facing community resources.

UPENN Graduate School of Education's School Participatory Research Collaborative

Assistant Director of Research & Research Associate / September, 2017May, 2021

Collaborated with students, faculty and administration across multiple schools in the Northeast to aid over 200 students in conducting various mixed methods research studies that interrogated educational inequities; spearheaded the planning of annual conferences and faculty trainings.

MPG Consulting

Research & Evaluation Consultant / 20192021

Co-led a mixed methods research and evaluation project to improve anti-racist programming and theories of change in a large non-profit organization in New York City; managed a diverse research team of employees across multiple departments and job positions.

The Pipeline Program, City University of New York

Undergraduate Advisor / September, 2015May, 2020

Advised underrepresented students across various CUNY campuses with applying to graduate programs and completing thesis projects in various disciplines; aided them in navigating institutional and systemic inequities.

Research Expertise
Management, Monitoring, Policy and Law
Social Psychology
Law
Sociology and Political Science
Anthropology
About
I am a mixed methods researcher and educator with 10 years of experience using participatory, action-oriented research to aid collective activism and advance movements for intersectional equity.

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Robert Granat, Ph.D.

Ph.D. in machine learning with domain expertise in carbon measurement, Earth science, and remote sensing
Experience

CarbonSpace Ltd

CTO / November, 2013Present

Machine Learning, Remote Sensing, Carbon Measurement, Atmospheric Science

Head of Science / April, 2023October, 2023

Machine Learning, Remote Sensing, Carbon Measurement, Atmospheric Science

Science Advisor / January, 2023March, 2023

Machine Learning, Remote Sensing, Carbon Measurement, Atmospheric Science

Research Foundation City University of New York

Senior Research Staff / January, 2020March, 2023

Dept. of Earth and Atmospheric Science (Machine Learning, GNSS, InSAR, Geophysics)

Jet Propulsion Laboratory

Science Team Algorithms Lead, OCO-2 Mission / March, 2013December, 2018

Project Management, Carbon Measurement, Uncertainty Quantification, Remote Sensing, Radiative Transfer

Group Supervisor, Machine Learning and Instrument Autonomy Group / April, 2008November, 2014

Line Management, Machine Learning, Remote Sensing, Earth Science

Senior Research Staff / May, 2000January, 2020

Machine Learning, Remote Sensing, Earth Science, Fault Tolerant Computing

Research Staff / April, 1996April, 2000

Scientific Modeling, Machine Learning, Supercomputing, Imaging Systems, Fault Tolerant Computing

Research Expertise
Remote Sensing
Machine Learning
GHG Measurement
Geodesy
Atmospheric Science
And 25 more
About
Robert Granat, Ph.D. is a highly accomplished machine learning and remote sensing expert with extensive experience in research and development. He received his Ph.D. in Electrical Engineering in 2004 and his M.S. in Electrical Engineering in 1998. He has held various leadership positions in both academia and the private sector, including CTO and Head of Science at CarbonSpace Ltd, a company focused on developing novel methods for carbon measurement using satellite observations. Dr. Granat's expertise lies in the fields of machine learning, Earth science, and remote sensing technologies. He has a strong background in developing algorithms and software systems for remote sensing measurement technologies and data analysis. His work has been instrumental in advancing the understanding of climate change and its impacts on the environment. Prior to his work at CarbonSpace Ltd, Dr. Granat held several research positions at the Research Foundation of City University of New York and Jet Propulsion Laboratory (JPL). At JPL, he served as the Science Team Algorithms Lead for the OCO-2 mission, a satellite mission dedicated to measuring carbon dioxide levels in Earth's atmosphere. He also served as the Group Supervisor for the Machine Learning and Instrument Autonomy Group at JPL. Dr. Granat's contributions to the fields of machine learning, geophysics, and climate science have been recognized with numerous awards and publications. He is a member of several professional organizations, including the Institute of Electrical and Electronics Engineers (IEEE) and the American Geophysical Union (AGU). In addition to his professional achievements, Dr. Granat is also dedicated to sharing his knowledge and expertise with the next generation of engineers and scientists.

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