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 INTERNATIONAL SUMMER RESEARCH PROGRAM 2026
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Faculty MentorLab NameDepartmentResearch DescriptionPre-Requisites
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Nikolay AtanasovExistential Robotics LabElectrical and Computer EngineeringThe Existential Robotics Lab develops autonomy capabilities for mobile and manipulator robots, including localization, mapping, motion planning, reinforcement learning, and control.Linear algebra, probability theory, data structures and algorithms.
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Umesh BellurMLSysHalicioglu Data Science CenterWe are a group of faculty, researchers, and students targeting at the intersection of machine learning and systems. Our current members span the Computer Science and Engineering Department (CSE) and the Halıcıoğlu Data Science Institute (HDSI) at the University of California, San Diego. Our research focuses on a broad spectrum of topics aimed at advancing next-generation systems for machine learning and developing innovative algorithms.Expertise with ML and Operating systems. Ability to be hands on in the linux kernel.
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Ricardo BetancurFish evolution labScripps Institution of OceanographyFish phylogenetics and macroevolution; comparative genomicsKnowledge on evolution and tree thinking; some idea of the fish diversity
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Michael BurkartBurkart LabChemistryNatural products and sustainable materialsBiochemistry and/or Organic Chemistry
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Jorge CortesMURO LabMechanical and Aerospace Engineering (MAE)Work on distributed robotics at the MURO Lab (http://muro.ucsd.edu) includes design, analysis, and implementation of motion planning strategies and distributed coordination algorithms on multi-robot networks performing spatially-distributed tasks. Our lab focuses on deployment of heterogeneous robots including ground vehicles and aerial vehicles. We rely on methods from graph theory, dynamics, and control combined with open source software programming. Several project opportunities exist to enhance the range of current capabilities in the lab. These include the implementation of distributed methods for: formation control with drones, multi-agent map exploration with task allocation using LIDAR based SLAM, using ground robots to coordinate mass rope cargo systems, and integrating interactions between aerial and ground robots.Familiarity with open source software; programming experience (either phython or C++, ideally ROS 2 (Humble)); knowledge of ordinary differential equations and linear algebra.
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Adam EnglerEngler labBioengineeringThe Engler lab's research is focused on how cell behavior is directed by the extracellular matrix (ECM), a 3-dimensional (3D) fibrillar scaffold to which cells adhere. Investigations in the lab revolve around how the mechanical and biochemical properties of this 3D ECM direct the cell behavior, i.e. mechanobiology. Under this broad conceptual framework, the lab is interested in how mechanobiology influences or misregulates cell function and modifies genetic mechanisms of disease. Specifically, the lab has shown that ECM mechanics can regulate the differentiation of stem cells into specific adult cell types, cause heart cells to contract better/worse with age, and cause cells to transform into cancer and metastasize. To accomplish this, his lab makes natural and synthetic matrices with unique spatiotemporal properties to mimic niche conditions, improve stem cell behavior and commitment in vitro, or direct them for therapeutic use in vivo.Comfortable working with human cells, especially stem cells or cancer.
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Sarah GilleGille GroupScripps Institution of OceanographyPhysical oceanography, with a focus on satellite remote sensing and Southern Ocean processes.A strong quantitative background with coursework in physics, math, engineering, meteorology, or physical oceanography PLUS experience programming in Matlab or Python.
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Tzyy-Ping JungSwartz Center for Computational NeuroscienceInstitute for Neural ComputationThe goal of the Swartz Center for Computational Neuroscience (SCCN) is to observe and model how functional activities in multiple brain areas interact dynamically to support human awareness, interaction and creativity. We focus on how EEG data (and/or MEG, its magnetic equivalent) can be used, alone or in combination with functional hemodynamic imaging data, to observe, model, and test new theories about how different parts of the brain interact dynamically to support human awareness and behavior. By observing the relationship of EEG and MEG brain rhythms to the physical structure of the brain and to the dynamics of its blood flow patterns, and by relating these observations to current discoveries in brain physiology, research at the Swartz Center attempts to determine how brain rhythms may play important roles in supporting human cognition and awareness. At SCCN, Dr. Jung's long-term research goal is to integrate methods in neural engineering and computation with fundamental scientific and clinical knowledge of the nervous system to enhance the diagnosis, treatment, and prevention of neurological diseases.Matlab or Python coding
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Ryan KastnerKastner Research GroupComputer Science and EngineeringEmbedded systems, hardware acceleration, FPGAs, remote sensing,Background in CS or EE
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Jan KleisslKleissl LabMechanical and Aerospace Engineering (MAE)Plug load control for energy conservation, power grid studies and integration of distributed energy resources, machine learning of power system events.Electrical engineering background and/or computer science (python, machine learning, databases)
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Falko KuesterCHEIQualcomm InstituteMultifaceted research with focus on engineering for the extremes, including robotic sensor platforms, large-scale sensor networks, remote sensing, big-data science, digital-twin creation, deep learning, machine learning, visualization, visual analytics, virtual reality and 3D printing, with applications in disaster preparedness, response and recovery, infrastructure and ecosystem assessment as well as cultural heritage engineering.Fundamental programming skills.
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Zhaowei LiuOptics and NanophotonicsElectrical and Computer EngineeringControl of light for various applications including imaging, sensing, communication, energy and etc.Basic background preparation in electromagnetism, optics, and relevant applications.
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Yuhwa LoBiomedical and Semiconductor LabElectrical and Computer EngineeringBiomedical AI labs for point of care diagnostics and semiconductor photonic and heterogeneously integrated systemssemiconductor device background or AI background for biomedicine
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Ken LohARMOR LabStructural EngineeringWe conduct both fundamental and applied research related to physical asset protection, human performance, and human-structure interactions. We aim to train the next generation of multidisciplinary engineering workforce through our hands-on student mentorship and classroom courses that feature the latest research. We develop: new stimuli-responsive and multifunctional materials; advanced sensing, noncontact imaging, and wireless measurement technologies; machine learning algorithms and numerical simulations; and research, development, testing, and evaluation (RDT&E) in operationally relevant environments.None
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Christoforos MamasRelational Inclusivity LabEducation StudiesOur lab, the Relational Inclusivity Lab, examines how relationships shape inclusion and belonging in educational settings. We study classrooms as social ecosystems where teachers and students co-construct equitable and caring networks that support learning and wellbeing for all, especially students from marginalized backgrounds (e.g., housing-insecure, refugee, and multilingual learners). Using social network analysis (SNA) and mixed-methods approaches, we map and interpret relational patterns (friendship, academic help, emotional support, and play) to identify practices that foster inclusion. Through research–practice partnerships, we co-design interventions, tools (like the SNA Toolkit), and professional learning communities (e.g., teacher book clubs) that advance relational inclusivity as a transformative, equity-driven paradigm in education.No
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Tina Tse Nga NgFlexible Printed ElectronicsElectrical and Computer Engineeringoptoelectronics, electrochemical sensors, energy storagehave taken physics/chem lab classes
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John RavitsThe Ravits LabNeurosciencesResearch in the Ravits’ lab implements molecular and cellular techniques to investigate neurodegenerative mechanisms and explore the anatomical-functional links between the brain and mind. The focus on ALS employs a multidisciplinary approach that incorporates sophisticated proteomics and transcriptomics performed on human tissue.preferably graduate students
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Nathan ShanerShaner LabNeurosciences, PharmacologyOur research program aims to understand the fundamental mechanisms at work in the two-way interaction of light with biological systems at the level of proteins, cells, and organisms. With this understanding, we can exploit the basic principles of biological fluorescence, bioluminescence, and photoreception to create widely useful genetically encodable probes for observing and manipulating cell activity and function.Prior experience with molecular biology techniques, tissue culture, and/or light microscopy would be helpful but not strictly required. Specific interest in genetically encodable probes is preferred (prior experience not necessary).
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Ina StelzerStelzer Lab - Systems, Reproductive, and Neuroimmunology of PregnancyPathologyOur lab focuses on the complex maternal neuroimmune adaptations during pregnancy. The maternal immune system has established mechanisms to tolerate the semiallogeneic fetus while supporting its growth and development. Disruptions in these adaptations are linked to complications throughout the peripartum period. Advancing our understanding of maternal health is essential for improving outcomes for both pregnant women and their children. Our primary research goal is to explore the interactions between the uterus and the maternal brain during the peripartum period. We are particularly interested in uncovering how communication between the peripheral and central nervous and immune systems adapts during the transition to motherhood. By characterizing the neuroimmune pathways that enable the maternal brain to recognize the fetus—and, conversely, facilitate central-to-peripheral signaling to the uterus—we aim to advance knowledge on how the maternal body supports pregnancy. This research has the potential to illuminate mechanisms underlying both healthy outcomes and complications, such as spontaneous preterm birth and perinatal depression. We leverage our expertise in translational systems immunology to bridge research on human pregnancy cohorts with preclinical (mouse) models of pregnancy. Our work seeks to uncover fundamental biological processes, identify biomarkers, and lay the groundwork for preventative and therapeutic strategies to improve both short- and long-term health outcomes for pregnant individuals.Ideally, immunology and/or neuroscience. Animal work. Work with human blood samples.
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Joel Yuen-ZhouYuen-Zhou GroupChemistry and BiochemistryTheoretical Chemistryundergraduate quantum mechanics, linear algebra, programming
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