School of Engineering
Showing 1-45 of 45 Results
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Anthony Cesnik
Postdoctoral Scholar, Bioengineering
BioI am advancing the vision of enabling an understanding of biology at the proteoform level, peering into the cellular machinery in a way that reveals precisely which molecule is acting in the biological system. Recently, I have been working in Emma Lundberg’s lab on understanding how the expression of these molecules varies between individual cells in space and time. Emma Lundberg’s group has a wealth of experience in using microscopy to yield biological images that paint a picture of this cell-to-cell heterogeneity of protein expression information, and joining her lab has deepened my expertise in integrating datasets to perform innovative analyses of single-cell protein expression. I hope to extend this towards analyzing single-cell proteoform expression, understanding the heterogeneity and flux between these proteoforms in space and time, and digging into the fundamental insights about human biology these data may reveal.
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Rahul Chajwa
Postdoctoral Scholar, Bioengineering
Current Research and Scholarly InterestsMy HFSP project is focussed on understanding the birth, life and death of marine snow. A predictive understanding of the hydrodynamic, biotic, and non-equilibrium aspects of this sinking microbial ecosystem is a notoriously challenging and globally relevant problem and is the central theme of my research at Stanford University. I’m applying my training as a physicist to shed light on the dynamical aspects of microbial life in the ocean, and to contribute insights that can help mitigate the negative impact of human activities on global climate; something I feel strongly about.
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Callie Chappell
Postdoctoral Scholar, Bioengineering
BioCallie Chappell is a Ph.D. candidate in Ecology and Evolution with the Fukami Lab. Callie is an ecologist and studies how genetic variation influences how ecological communities change over time. Her dissertation research focuses on nectar-inhabiting yeast and bacteria. With a background in bioengineering, Callie is particularly interested in the conservation and policy impacts of gene editing wild organisms and the cascading impacts that genetic variation can have on ecological and evolutionary processes.
Outside of the lab, Callie leads several groups that work in the intersection of science and society. Callie was the 2020-21 President of Stanford Science Policy Group (SSPG), a chapter of the National Science Policy Network and student organization that engages scientists with policy on the local, state, national, and international level. Callie also co-leads BioJam, an education program that collaborates with high school students and community organizations from low- income communities in the Greater Bay Area of California. BioJam participants and organizers learn together about bioengineering and biodesign through the lens of culture and creativity. Callie is also a professional artist and scientific illustrator. Callie has participated in several fellowships at the intersection of science and society including the Mirzayan Science and Technology Policy with the National Academies of Sciences, Engineering, and Medicine (2021), Graduate Ethics Fellow with Stanford’s McCoy Center for Ethics in Society (2019-2020), BioFutures Fellow with the Stanford Bio Policy and Leadership in Society (Bio.Polis) Initiative (2020-2021), and Katherine S. McCarter Policy Fellow with the Ecological Society of America (2020). -
Tianyang Chen
Postdoctoral Scholar, Chemical Engineering
BioBorn in southeastern China, I went to Beijing for undergraduate education after spending 18 years in Zhejiang province. At Peking university, I conducted research in the field of organometallic chemistry in Prof. Zhenfeng Xi's lab in College of Chemistry and Molecular Engineering (CCME). Hoping to achieve more in chemical research, I went abroad to the east coast of the US and became a graduate student in Chemistry Department of MIT, under the supervision of Prof. Mircea Dincᾰ. My research interests during graduate school span from electrically conductive metal-organic frameworks and porous organic polymers to electrochemcial energy storage using organic or organic/inorganic hybrid materials. After 6 years at MIT, I traveled accross the country (by driving) to the west coast and am currently a postdoctoral scholar in Prof. Zhenan Bao's lab, working on developing polymeric materials for electrochemical interphase in batteries.
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Paul Danzhe Chu
Graduate Visiting Researcher Student, Electrical Engineering
Stanford Student Employee, Medicine - Med/Gastroenterology and HepatologyBioPaul is currently a Visiting Student Researcher at Stanford University in the Electrical Engineering Department Lab, focusing on Deep Learning and AI Optimization since September 2023.
His academic and research interests lie primarily in Natural Language Processing (NLP), Data Analysis Visualization, and he is keen on diving deeper into Large Language Models (LLMs) in the future.
His work at Stanford involves collaborating with Prof. Mert Pilanci lab members to explore innovative solutions in AI, particularly in NLP and AI Optimization. By engaging in research at Stanford, Paul aspires to contribute to the advancement of AI technologies, in understanding and optimizing AI systems for practical applications.
Prior to joining Stanford, His journey in engineering began in France, where he embarked on a preparatory class in 2019, before securing his "Diplôme d'Ingénieur" from ISEP in Paris, in 2024. -
Róbert Csordás
Postdoctoral Scholar, Computer Science
BioI am a postdoctoral researcher in the Stanford NLP Group, supervised by Prof. Christopher Manning and Prof. Christopher Potts. Previously, I did my PhD in IDSIA, supervised by Prof. Jürgen Schmidhuber. I work on systematic generalization, mainly in the context of algorithmic reasoning. This drives my research interest in network architectures (Transformers, DNC, graph networks) with inductive biases like information routing (attention, memory) and learning modular structures. My goal is to create a system that can learn generally applicable rules instead of pure pattern matching but with minimal hardcoded structure. I consider the lack of systematic generation to be the main obstacle to a more generally applicable artificial intelligence.
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Andrea Cuadra
Postdoctoral Scholar, Computer Science
BioI am a postdoc working with James Landay. My field is Human-Computer Interaction, and my work lies at the intersection of interaction design, inclusivity, and artificial intelligence. I study the needs of marginalized groups who may particularly benefit from or be harmed by the outcomes of technology design decisions that affect us all. In addition, I employ my design skills to generate and advocate for more-inclusive design alternatives.