Stanford University
Showing 1,401-1,450 of 2,728 Results
-
Qianheng Ma
Postdoctoral Scholar, Psychiatry
BioQianheng (Jessica) Ma obtained her PhD degree of biostatistics at University of Chicago under the supervision of Prof. Donald Hedeker and is the 2021 recipient of the dissertation grant from Society of Multivariate Experimental Psychology (SMEP). Her current research focus are modern statistical methods and deep learning techniques for mining (multivariate) intensive longitudinal data especially psychological/behavioral measures collected by mobile/wearable devices. Besides research, she loves playing the piano and is good at Jazz improvisation and she can speak fluent Cantonese.
-
Quan Maq Ma
Postdoctoral Scholar, Genetics
BioQuan (Maq) Ma is a postdoctoral researcher in the Department of Genetics at the Stanford School of Medicine. His research focuses on developing high-throughput sequencing technologies to study RNA modifications and identify substrates of RNA-binding proteins using biochemical and chemical biology approaches. Maq is also interested in the role of RNA editing in inflammatory chronic diseases.
-
Yuchi Ma
Postdoctoral Scholar, Earth System Science
BioAs a postdoctoral scholar in Earth System Science at Stanford University with a Ph.D. in Agricultural Engineering and a minor in Machine Learning from the University of Wisconsin-Madison (UW-Madison), my research is dedicated to developing and applying precision sensing technologies and Geospatial AI to advance scalable Earth observation, environmental monitoring, and data-driven decision support. My research program develops sensing-to-decision frameworks that connect the physical and computational dimensions of the Earth system. I contribute across three tightly linked areas: (1) remote sensing strategies for fine-scale environmental and agroecosystem observation; (2) GeoAI methods that improve model generalization across space, sensors, and time; and (3) science applications that translate these methods into actionable insights on land management, climate resilience, and sustainability.
My research has resulted in 8 first-authored and 17 co-authored publications in leading journals, including Nature Sustainability and Remote Sensing of Environment. The impact of my work is reflected in 2 first-authored papers recognized as Web of Science Highly Cited Papers (Top 1%) and 1 first-authored paper designated as a Top Cited Paper in Remote Sensing of Environment (2025). Beyond academia, the real-world impact of my research is evident: my models have been adopted by USDA and Google X, demonstrating their practical value to both government and industry.
Besides, I have taught 3 courses, including one semester as the Lecturer of Record in Geography at UW-Madison. For service, I have served as reviewers for over 30 journals and convened agroecosystem- and AI-related sessions at the AGU and AAG meetings. In addition, I have actively secured internal and external funding, serving as PI or Co-PI on multiple awarded projects. These leadership and collaborative roles have allowed me to build enduring connections with top researchers from academic institutions and private sectors, extending my professional network beyond Stanford. More details are listed in my CV. -
Viviana Macarelli
Postdoctoral Scholar, Bioengineering
BioViviana earned her PhD in Clinical Biochemistry from the University of Cambridge (UK) in 2024, where she focused on the role of primary cilia in metabolic sensing by the hypothalamus. She then joined the Lundberg lab as a postdoc for a project in collaboration with the Chan Zuckerberg Imaging Institute. She will focus on characterizing primary cilia in the adult brain using human induced pluripotent stem cells (hIPSC).
-
Anders Gjølbye Madsen
Graduate Visiting Researcher Student, Computer Science
BioAnders Gjølbye Madsen is a PhD fellow at the Technical University of Denmark. His research focuses on trustworthy machine learning for healthcare, with an emphasis on explainability, interpretability, and reliable evaluation of models in high-stakes settings. He works broadly with modern deep learning methods, including self-supervised learning, and is interested in questions of robustness and alignment. He is the author of PatternLocal, a NeurIPS 2025 paper on reducing false-positive attributions in explanations of non-linear models by refining local explanation approaches. He earned a BSc in Artificial Intelligence and Data from DTU and completed an MSc in Engineering in Applied Mathematics at DTU, including a study exchange in Computational Science and Engineering at ETH Zürich. Anders will spend 2026 as a visiting researcher at Stanford University’s Trustworthy AI Research (STAIR) Lab, working with Professor Sanmi Koyejo.
-
Sasidhar Madugula
Postdoctoral Scholar, Neurosurgery
Current Research and Scholarly InterestsMy research focuses on high-precision neural interfaces and the development of next-generation brain-computer interfaces (BCIs) for sensory and motor restoration. I am particularly interested in the biophysics of electrical stimulation, systems neuroscience, and the decoding of neural activity for high-fidelity communication and control. My work spans both fundamental and translational neuroscience.
-
Laurin Maechtig
Graduate Visiting Researcher Student, Mechanical Engineering
BioLaurin Mächtig is a Visiting Student Researcher (VSR) at the Center for Turbulence Research (CTR).
At Stanford, he is investigating Aircraft Icing with high-fidelity simulations under supervision of postdoctoral fellow Federico Zabaleta and Professor Parviz Moin.
He holds a Bachelor of Science in Aerospace Engineering from the University of Stuttgart, where he is currently enrolled as a Master's student in aerospace engineering in his final year. -
Alam Mahmud
Postdoctoral Scholar, Chemical Engineering
BioA curious individual, seeking truth and exploring wonders, as ever
-
Benjamin Maki
Postdoctoral Scholar, Earth System Science
BioBen joined Stanford's Earth System Science department as a postdoctoral scholar in February 2026. He is currently working on a series of projects related to the sustainable management of groundwater resources in California's Central Valley, where his work is focused within the context of managed aquifer recharge (MAR). MAR is a suite of methods used to redirect excess surface water into groundwater systems and has emerged as a key strategy to bank freshwater and restore groundwater levels throughout California. More specifically, his work focuses on better understanding the potential risks to groundwater quality posed by naturally occurring geogenic contaminants during recharge efforts, where changes to native geochemical conditions during recharge can result in the inadvertent mobilization of toxic naturally occurring contaminants, such as arsenic, uranium, chromium, and manganese. Current work funded through the Stanford Sustainability Accelerator, and in partnership with the Madera Irrigation District among other community partners, aims to establish a simple, functional multi-user focused toolkit to aid in effectively and safely scaling groundwater recharge efforts throughout the state. Importantly, this work focuses on both understanding community level concerns during local groundwater recharge projects, while simultaneously establishing effective groundwater quality monitoring protocols and designing simple, scalable, and effective field-scale management solutions to protect long-term groundwater quality.
Prior to joining Stanford, Ben completed his Ph.D. in Environmental Toxicology, with a designated emphasis in Public Policy, at the University of California Riverside (UCR). His dissertation research focused on assessing the mechanistic controls driving inadvertent geogenic metals solubilization and transformation within MAR systems designed to infiltrate untreated stormwater runoff using recharge basins on agricultural lands in the Pajaro Valley, CA. These systems were uniquely designed to remediate nitrate contamination within infiltrating stormwater via the application of carbon based (e.g., woodchips, almond shells, etc.) horizontal permeable reactive barriers, installed within basin surface soils, where carbon solubilization effectively stimulated native microbial communities to reduce and remediate excess nitrate during infiltration. However, the conditions that promote denitrification (e.g., excess organic carbon and shifts to oxygen depleted conditions) can also result in the solubilization of geogenic metals from soils. Ben’s dissertation work employed novel methods to assess how these processes were influenced by excess organic carbon availability and redox cycling, representative of the cycling wet and dry condition in basin soils during recharge, to better understand the balance between water quality tradeoffs and consider system management strategies to maximize water quality benefits while reducing risks. Preceding his time at UCR, Ben received a BS in Environmental Science from Western Washington University, where he studied the influences of amorphous iron oxyhydroxides and biological amendments on arsenic and iron bioavailability, fate, and transport in soils.
When not thinking about groundwater replenishment, Ben enjoys time with friends, family, and his partner Al and dog Rupert. He spends the bulk of his free time surfing on the California coast, exploring the Bay Area by bicycle and campervan, traveling to as many new places as possible, and enjoying live music, and good food and company along the way! -
Rim Malek
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsMy work is focused on the development of small molecules radiotracers for cancer imaging, and small molecules and peptides theranostics for cancer detection, targeted radionuclide therapy, and monitoring of tumor response to therapy.
-
Lise Mangiante
Postdoctoral Scholar, Stanford Cancer Institute
Current Research and Scholarly InterestsMy research focused on understanding the evolution and ecology of cancer, and determinants of disease progression through analysis and modeling of high-dimensional, clinically annotated datasets.
-
Amit Manhas
Instructor, Cardiovascular Institute
BioDr. Amit Manhas is an instructor at the Stanford Cardiovascular Institute, specializing in cardiovascular disease modeling, cardio-oncology, and stem cell biology. Dr. Manhas earned his PhD in Biological Sciences from the Pharmacology Division at the CSIR-Central Drug Research Institute in Lucknow, India, where his doctoral research focused on cardioprotective mechanisms in ischemic injury.
-
Vivek Maradia
Postdoctoral Scholar, Radiation Therapy
Current Research and Scholarly InterestsI research ultra-high dose rate delivery using proton, x-ray, and electron beams for FLASH preclinical studies, aiming to understand efficacy and safety mechanisms. My work aims to transform cancer therapy and enhance patient outcomes. Leveraging insights from PSI's PROScan facility, I design a compact cyclotron-based proton therapy infrastructure for various radiation therapy setups.
-
Mariya Mardamshina
Postdoctoral Scholar, Bioengineering
BioMariya Mardamshina, MD, PhD, is a postdoctoral fellow in the Department of Bioengineering, working in Prof. Emma Lundberg's lab. She earned her medical degree from Semey State Medical University and completed her PhD at Tel Aviv University, where her research focused on spatial inter- and intratumoral heterogeneity in breast cancer using mass spectrometry-based proteomics. Currently, her work in the Lundberg lab centers on deciphering cell-to-cell proteomic variability within a spatial framework. Her research involves developing integrated pipelines that combine automated multiplexed staining, high-resolution microscopy, artificial intelligence, and ultra-high sensitivity mass spectrometry to achieve comprehensive proteomic analyses.
