جست‌وجوی استاد و پژوهشگر

Lewis Picardمشاهده پروفایل

پژوهشگر ارشد

• Quantum Physics
• Atomic, Molecular, and Optical Physics (AMO)
• Quantum Information
• +۳ مورد دیگر

Lewis Picard is a David and Ellen Lee Postdoctoral Scholar Research Associate in Physics at the California Institute of Technology (Caltech), affiliated with the Division of Physics, Mathematics, and Astronomy. His research focuses on quantum control of ultracold molecules using optical tweezers and trapping techniques, with emphasis on molecular qubits, dipolar interactions, and quantum simulation platforms. Key projects include extending rotational coherence times of polar molecules, developing optical tweezer arrays for single-molecule manipulation, and integrating Rydberg atoms into ultracold molecular systems. Research interests span quantum information science, atomic and molecular physics, and experimental techniques like photoassociation spectroscopy and magic polarization trapping. Notable contributions include entanglement protocols for molecular qubits, site-selective preparation of molecules in optical traps, and coherent creation of rovibrational ground-state molecules. His publications (2019–2025) emphasize experimental advances in trapping longevity, quantum state control, and hybrid quantum systems. Advising and grant activities are not explicitly detailed in available records. Picard’s work contributes to foundational research in quantum technologies and precision measurement science.

MARÍA BORREGO RAMOSمشاهده پروفایل

پژوهشگر

• Diatom taxonomy
• Environmental biomonitoring
• Morphometric analysis
• +۴ مورد دیگر

MARÍA BORREGO RAMOS is a Research Assistant at the University of León in the Department of Biodiversity and Environmental Management , affiliated with the Institute of Environment, Natural Resources and Biodiversity and the LIMNO (Limnology and Environmental Biotechnology) research group. Her work focuses on diatom taxonomy and environmental applications. Research interests include: Evaluating diatom taxonomy through morphometric analysis Using diatoms as bioindicators for water quality assessment Applying machine learning to diatom classification Studying subterranean diatom communities in karst caves Analyzing deformation patterns caused by acid mine drainage Publications highlight technical advancements in diatom classification (99% accuracy via deep learning) and ecological studies of polluted systems. Her 2019 work describes Germainiella legionensis , a new cave diatom species.

Naomi M. Levineمشاهده پروفایل

استاد

• Biological Oceanography
• Marine Microbial Ecology
• Climate Change Impact on Marine Ecosystems
• +۳ مورد دیگر

Naomi M. Levine is a Professor at the University of Southern California , leading the Levine Laboratory in Biological Oceanography. Her work focuses on marine microbial ecology, climate-microbe interactions, and carbon cycling through interdisciplinary numerical models. BS in Environmental Science, Vietnam National University of Science, Hanoi (Valedictorian, 2013) PhD in Earth Science, University of Southern California (2017) Postdoctoral training at Princeton University and NOAA GFDL Gabilan Distinguished Professor of Biological Sciences and Earth Sciences Dr. Levine’s research spans microbial evolutionary strategies, phytoplankton-bacteria dynamics, and dissolved organic matter cycling. She integrates metagenomics, proteomics, and computational modeling to explore microbial roles in climate feedback loops and global biogeochemical cycles. Recent publications highlight microbial functional biogeography, DOM modeling, and trait trade-offs in diatoms. Her lab collaborates with CBIOMES and PriME, emphasizing predictive climate modeling and marine ecosystem resilience. Scientific Awards Gabilan Distinguished Professorship Her advisees, including Suzana Leles (UT Austin), Jessica Zaiss-Bowman (NASA), and Xiao Liu (NOAA), contribute to marine science globally. The lab welcomes graduate and postdoctoral researchers through USC’s Marine Biology & Biological Oceanography PhD program.

Timothy Beckerمشاهده پروفایل

استادیار

• Genomics
• Deep Learning
• Generative Modeling
• +۸ مورد دیگر

Timothy Becker serves as the John D. MacArthur Assistant Professor of Computer Science at Connecticut College, where he joined in 2023. His research focuses on transforming complex datasets into functional instruments through advanced computational techniques. His academic background includes: B.M. in Music Production from The Hartt School of Music B.S. in Computer Science from the University of Hartford Ph.D. in Computer Science and Engineering from the University of Connecticut Becker specializes in genomics applications but maintains active interdisciplinary collaborations in ecology and transportation. His core methodology integrates deep learning, generative modeling, and data visualization to develop open-source software tools. He emphasizes practical implementations for real-world data analysis and creates interactive tutorials to foster persistent student learning. His publication record from 2018-2025 reveals consistent contributions to bioinformatics and environmental data science, particularly in structural variation analysis and river connectivity modeling. Key trends include developing neural network frameworks for genomic data integration and creating visualization methods for multi-omic datasets. Becker actively seeks undergraduate research collaborators, encouraging students with domain-specific data or research questions to initiate projects. His interdisciplinary approach connects computer science with life sciences and environmental studies through numerous cross-institutional partnerships.