جستجوی استاد راهنمای دانشگاهی

Francesca Stradoliniمشاهده پروفایل

مدرس

• Bioelectronics
• IoT for Medical Monitoring
• Anesthesia Delivery Systems
• +۳ مورد دیگر

Francesca Stradolini is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Electrical Engineering Doctoral School (EDEE). She holds a PhD in Electrical Engineering from EPFL (2018), with prior education in Bio Engineering and Neuroscience from the University of Genoa (2012, 2015). Her current work focuses on R&D engineering for medical devices, emphasizing system lifecycle management, human factors engineering, and compliance with CE/FDA regulations. As an invited guest, she contributes to usability engineering education and interdisciplinary research at EPFL. PhD: IoT Bio-Electronic Multi-Panel Device for On-line Monitoring of Anaesthesia Delivery (EPFL, 2018) MSc: Bio Engineering (University of Genoa, 2015) BSc: Bio Engineering (University of Genoa, 2012) Her research spans bioelectronics, IoT-enabled medical monitoring, and electrochemical sensor development for clinical applications. Key areas include anesthesia delivery systems, wearable diagnostics, implantable devices, and human factors engineering. Her work integrates fluidic systems, noble metal nanostructures, and open-source hardware (e.g., Raspberry Pi) to address challenges in traceability, fouling mitigation, and pharmacokinetic modeling. Scientific recognition includes the Ville de Lausanne Award (2019) , EPFL Outstanding PhD Thesis Distinction (2018) , and a Best Paper Award at MOBIHEALTH (2016) . She has published extensively in journals like IEEE TBIOCAS, Sensors and Actuators B, and IEEE Sensors Journal, with collaborative studies on propofol monitoring, carbon nanoallotrope drug detection, and implantable sensor validation. Her technical expertise includes managing medical device development lifecycles, designing IoT architectures for intensive care, and optimizing electrochemical sensors for stability in undiluted biological fluids. She has contributed to conferences such as IEEE BioCAS, ISCAS, and MOBIHEALTH, focusing on translational studies in personalized medicine and 3D-printed medical systems.

Sudie E. Backمشاهده پروفایل

استاد

• Substance Use Disorders
• Post-Traumatic Stress Disorder (PTSD)
• Co-occurring Disorders
• +۳ مورد دیگر

Dr. Sudie E. Back is a Professor in the Department of Psychiatry and Behavioral Sciences at the Medical University of South Carolina (MUSC), College of Medicine. She also serves as Director of the NIH-sponsored Drug Abuse Research Training (DART) program and is a Staff Psychologist at the Ralph H. Johnson VA's STAR program. Her expertise lies in treating substance use disorders and PTSD, particularly among veterans and civilians. She leads both behavioral and pharmacological clinical trials, as well as neuroimaging studies. Education: PhD in Clinical Psychology from the University of Georgia (2004), clinical internship at Yale University School of Medicine (2002–2003), and postdoctoral training at MUSC (2004–2005). Research Interests: Co-occurring substance use and PTSD, trauma-focused therapies, veterans' mental health. Funding: NIH, Department of Defense, and VA grants, including K23, R01, K02, and a Fulbright award. Dr. Back has pioneered integrated treatment approaches, such as combining oxytocin with exposure therapy for AUD and PTSD. She also developed COPEWeb , a web-based training program for providers treating PTSD and SUD. Her trials include randomized clinical trials on cognitive processing therapy and relapse prevention. Awards: Career Development Award (K23) R01 grants Independent Scientist Award (K02) Fulbright Scholar Award (Australia) Labs/Teams: Director of DART program at MUSC and STAR program at the VA, focusing on translational research and clinical training.

• Environmental Health Engineering
• Wastewater-Based Epidemiology
• Bioremediation
• +۷ مورد دیگر

Rolf Halden is a Professor and Center Director at Arizona State University, holding appointments in the School of Sustainable Engineering and the Built Environment, the Biodesign Center for Environmental Health Engineering, and the Global Futures Scientists and Scholars program. He is a leading expert in environmental health engineering, wastewater-based epidemiology, and bioremediation. Education: Ph.D. in Civil (Environmental) Engineering, University of Minnesota (1997) M.S. in Civil (Environmental) Engineering, University of Minnesota (1994) M.S. in Biology, Technical University of Braunschweig, Germany (1992) Postdoctoral Fellow, Environmental Science, Lawrence Livermore National Laboratory (1998) Research Focus: Halden’s research integrates environmental chemistry, public health, and sustainability to understand how anthropogenic chemicals affect ecological and human health. His lab uses advanced mass spectrometry (LC-MS/MS, MALDI-TOF) to track pollutants such as PPCPs, microplastics, pesticides, and dioxins across air, water, soil, and biological systems. He pioneered the use of wastewater treatment plants as public health observatories, enabling real-time tracking of disease, drug use, and environmental exposures. Scientific Awards & Recognition: Leadership Award, Arizona State University (2018) Rocky Mountain Emmy Award (2018) Leroy E. Burney Lecturer, Johns Hopkins School of Public Health (2011) ACS Expert Program Member (2014–present) NIEHS Superfund R01 Working Group National Leader (2012–2014) Labs & Teams: Halden is the Founding Director of the Biodesign Center for Environmental Health Engineering at ASU, where he leads a multidisciplinary team focused on environmental proteomics, bioremediation, and diagnostic tool development. He also co-leads the Human Health Observatory , a national wastewater monitoring network. Grants & Funding: Halden has secured major funding from NSF, NIH, EPA, DoD, and private industry. Notable projects include the development of in-situ groundwater monitoring devices, national wastewater surveillance of SARS-CoV-2, and studies on microplastics and neurodegenerative disease.

John Oakeyمشاهده پروفایل

استاد

• Microfluidics
• Microscale transport phenomena
• Tissue engineering and regenerative medicine
• +۴ مورد دیگر

John Oakey is a Professor and Graduate Coordinator in the Department of Chemical and Biomedical Engineering at the University of Wyoming, with additional affiliations to the INBRE Program, Molecular and Cellular Life Sciences Program, and Materials Science and Engineering Program. Education Postdoctoral Fellow, Center for Engineering in Medicine, Massachusetts General Hospital & Harvard Medical School (2007–2010) Ph.D. Chemical Engineering, Colorado School of Mines (2003) M.S. Chemical Engineering, Colorado School of Mines (1999) B.S. Chemical Engineering, Penn State University (1997) Research Interests Oakey’s laboratory integrates fluid dynamics, colloidal science and materials science to understand how biological systems behave under flow, on surfaces and within complex 3-D geometries. A unifying theme is the use of microfabrication and microfluidics to create new diagnostic, prognostic and therapeutic platforms. Current thrusts include: Heterogeneous biomaterials: self-assembled particulate tissue scaffolds whose mechanical and transport properties can be temporally programmed. Inertial microfluidics: exploiting lift forces for membrane-free particle sorting, enrichment and diagnostics. Multi-temporal analysis by flow cytometry: development of closed-loop, high-throughput microfluidic cytometers for longitudinal single-cell studies. Publication Trends From 2025 back to 2010, Oakey’s articles reveal a consistent trajectory that marries fundamental physics (microtubule mechanics, inertial focusing) with translational applications (cell encapsulation, tissue scaffolds, drug delivery). Recent work (2023-2025) increasingly targets injectable granular hydrogels, single-cell therapeutic delivery and sustainable carbon-sequestering living materials, demonstrating an evolution from microscale transport phenomena to macroscopic biomedical and environmental impact. Scientific Awards No named awards are listed in the supplied text. Advising & Coordination Roles As Graduate Coordinator for the Department of Chemical and Biomedical Engineering, Professor Oakey oversees graduate program development and student mentoring. While no individual students are named, his role implies active supervision of M.S. and Ph.D. advisees in chemical and biomedical engineering. Laboratory & Teams The Oakey Research Group operates from the Energy and Environmental Research Building (EERB 435A) at the University of Wyoming. The lab enjoys R1-level research infrastructure and collaborates broadly with the Wyoming INBRE network, the Molecular and Cellular Life Sciences Program, and the Materials Science and Engineering Program.

• Leishmaniasis
• Immunology
• Parasitology
• +۳ مورد دیگر

Deborah Frances Smith is a Professor affiliated with the Centre for Immunology and Infection. She has held former roles including Head Of Department, Biology Pro-Vice-Chancellor for Research, and Special Adviser to the Vice Chancellor in the Vice Chancellor's Office. She is also associated with CNAP (Cancer and Neuroscience Academic Programme) and the Jack Birch Unit. Her research focuses on leishmaniasis, parasite biology, and drug/vaccine development. Key projects include leading the 'C2D2 research 1a & 2b' (2012–2012) to establish sandfly colonies for leishmaniasis studies and co-investigating an integrated crystallization facility (2013–2018). She secured the Wolfson Research merit Award (2009–2010) from the Royal Society. Her work spans academic leadership, collaborative research, and translational medicine targeting neglected tropical diseases.

Daniel Finleyمشاهده پروفایل

استاد

• Ubiquitin-Proteasome Pathway
• Proteostasis
• Protein Degradation
• +۷ مورد دیگر

Daniel Finley is a Professor of Cell Biology at Harvard Medical School (HMS), leading the Finley Lab focused on the ubiquitin-proteasome pathway and related regulatory mechanisms. He holds academic appointments within the Department of Cell Biology and sits on the Scientific Advisory Boards of Proteostasis and X-Chem Pharmaceuticals. His research investigates proteasome function, ubiquitin-like proteins, and proteostasis roles in diseases like Alzheimer’s and ALS. Dr. Finley earned his undergraduate degree in biochemistry from Harvard University and a Ph.D. in molecular biology from MIT. After postdoctoral training at MIT, he joined HMS in 1988. His lab explores topics including erythroid proteome remodeling, mitochondrial dysfunction, and neurodegenerative disease mechanisms. Key research areas include: (1) Ubiquitin-proteasome pathway regulation, (2) Proteasome structure/function, (3) Nonproteolytic roles of ubiquitination, and (4) Pathophysiological roles of proteostasis defects in diseases. His work bridges basic cell biology with translational medicine, particularly in neurodegeneration and anemia. Finley has secured NIH funding for projects like 'Regulation of Proteasome Activity' (R35GM145246) and 'Erythrocyte maturation through global proteome remodeling' (R01HL153970). Collaborations with industry and academic partners extend his impact in drug discovery and proteasome-targeted therapies. His lab’s contributions include defining ubiquitin chain editing mechanisms, identifying USP14’s role in mitophagy, and elucidating proteostasis defects in Alzheimer's models. Research tools developed include advanced cryo-EM analyses of proteasomal structures and functional assays for ubiquitin system enzymes.

• Data Science
• Machine Learning
• Computational Harmonic Analysis
• +۶ مورد دیگر

Pierre Vandergheynst is a Full Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) in the Department of Electrical Engineering, with a courtesy appointment in Computer and Communication Sciences. He serves as EPFL’s Vice-Provost for Education since 2015 and leads the Signal Processing Laboratory 2 (LTS2). His research spans harmonic analysis, sparse approximations, mathematical data processing, and applications in signal/image processing, computer vision, machine learning, and graph-based data analysis. PhD in Mathematical Physics (1998), Université catholique de Louvain Postdoctoral Researcher at EPFL (1998-2001) Assistant Professor at EPFL (2002-2007) His research explores geometry/symmetry in high-dimensional data, redundant dictionaries for dimensionality reduction, and computational harmonic analysis on manifolds. Recent work focuses on protein structure modeling, geometric deep learning, and graph-based signal processing. Key article trends include graph neural networks for protein analysis, geometric deep learning in neuroscience, and structured knowledge priors in neural models. His 2023-2025 publications emphasize interpretable AI, long-range dependencies in graphs, and molecular representation learning. Scientific Awards: IEEE Signal Processing Magazine Best Paper Award (2023) Signal Processing Society Best Paper Award (2022) Apple ARTS Award (2007) De Boelpaepe Prize, Royal Academy of Sciences of Belgium (2009-2010) He has supervised over 30 PhD theses and contributed to foundational work in graph signal processing, compressive sensing, and geometric deep learning. His lab develops tools for data science on non-Euclidean structures, with applications in medicine, astronomy, and wireless systems.

Qianwen Wangمشاهده پروفایل

استادیار

• Interactive Visualization
• Interpretable Machine Learning
• Human-AI Collaboration
• +۵ مورد دیگر

Qianwen Wang is a tenure-track Assistant Professor in the Computer Science department at the University of Minnesota, Twin Cities. Her research combines interactive visualization with interpretable machine learning to foster intuitive, efficient, and reliable Human-AI collaboration. She actively seeks motivated students, research assistants, and interns to join her dynamic research team at UMN CS. Dr. Wang's research focuses on three primary themes: Human-AI Collaboration, where she designs tools to facilitate Human-AI interaction; Automatic & Intelligent Visualization, where she develops techniques to make visualizations accurately interpreted and easily used; and VIS+(X)AI in Biomed/Healthcare, where she studies how visualization and explainable AI can promote scientific discoveries in biomedicine and healthcare. Her work has made significant contributions to visualization, human-computer interaction, and bioinformatics, with particular applications in biomedical knowledge graphs and single-cell omics analysis. Her recent publications demonstrate a strong trend toward integrating visualization with large language models and graph neural networks for biomedical applications. She has published extensively at top venues including IEEE VIS, ACM CHI, and Nature Medicine, with a focus on making AI systems more interpretable and useful for domain experts, particularly in healthcare contexts. Her work often bridges theoretical advances in visualization with practical applications in genomics and healthcare. Two IEEE VIS Honorable Mention Awards (2022, 2024) Best Paper Award from IMLH@ICML 2021 Two Best Abstract Awards from BioVis ISMB (2021, 2022) HDSI Postdoctoral Research Fund Award Research covered by MIT News and Nature Technology Features Dr. Wang actively contributes to the academic community through service roles including General Chair for ISMB BioVis, VisNotes and Poster Chair for IEEE PacificVis, and Program Committee member for IEEE VIS, ACM CHI, and ACM IUI. Her research has been supported by various grants that enable her team to develop innovative visualization techniques and explore their practical applications in biomedical domains. Her research group maintains an active presence in the visualization and HCI communities, with members participating in major conferences and workshops. The lab focuses on creating tools that bridge the gap between complex AI models and human understanding, with particular emphasis on making these technologies accessible and useful for domain experts in biomedical research.

Hai-Quan Maoمشاهده پروفایل

استاد

• Biomaterials
• Regenerative Engineering
• Therapeutic Delivery
• +۳ مورد دیگر

Hai-Quan Mao is a Professor of Materials Science and Engineering at Johns Hopkins University, with a joint appointment in the Biomedical Engineering Department (School of Medicine). He directs the Institute for NanoBioTechnology (INBT) and leads the Translational Tissue Engineering Center. His research focuses on biomaterials, regenerative engineering, and immunoengineering, particularly developing nanomaterials for therapeutic delivery and tissue regeneration. Mao holds 35 U.S. patents, co-founded two biotech companies, and received prestigious awards including National Academy of Inventors Fellow and NSF CAREER Award. Education: BS in Chemistry (1988) and PhD in Polymer Chemistry (1993) from Wuhan University. Postdoctoral training at Johns Hopkins (1995–1998), followed by roles at Johns Hopkins Singapore (1999–2003) before joining the Whiting School faculty. Research emphasizes nanofiber scaffolds for liver/nerve regeneration, DNA/lipid nanoparticle engineering for gene therapy, and artificial lymph node matrices for immunotherapy. His lab translates biomaterials innovations into clinical applications, with NIH-funded projects addressing cancer, malaria, and tissue damage. Awards include over 60 provisional patents, multiple Johns Hopkins translational awards, and Thalheimer Awards for research. He serves as associate editor of Biomaterials and editorial board member of major journals. Lab activities include scalable nanoparticle manufacturing, machine learning for material design, and collaborations with industry/clinical partners. Recent work includes lipid nanoparticle optimization for mRNA vaccines and exosome-based therapies for Crohn’s disease.

• Electrochemistry
• Nanotechnology
• Microfabrication
• +۴ مورد دیگر

Irene Taurino is an Assistant Professor (tenure track) in the Faculty of Engineering Science at KU Leuven, affiliated with the Department of Physics and Astronomy and the Department of Electrical Engineering (ESAT). She leads the Laboratory of Electrochemical Materials and Bio Interfaces (eMATI), focusing on nano- and microtechnologies for biomedical applications. Her work emphasizes developing advanced electrochemical systems for therapeutic and sensing purposes, including biodegradable platforms and stretchable substrates. Research Interests: Electrochemistry, Nanotechnology, (Bio)sensing, Drug delivery, Bimetals/Metal Oxides, and Smart materials. Projects include HumiPlast (plant transpiration sensors), QuantPAH (firefighter health monitoring), and TALENT (thin-film deposition technologies). She holds leadership roles in Leuven One Health, LIMNI, and the Plant Institute. Advising & Grants: Promotes/Co-promotes 10+ projects on biosensors, CO2 electroreduction, and smart farming. Key roles in funding initiatives like EU Horizon and industry partnerships. Labs/Teams: Heads eMATI, fostering interdisciplinary research in bioelectronics and soft materials. Emphasizes creativity and translational research from fundamental science to practical applications.

Stan Ahaltمشاهده پروفایل

استاد

• Data Science
• High-Performance Computing
• Biomedical Informatics
• +۴ مورد دیگر

Dr. Stan Ahalt serves as the inaugural Dean of the UNC School of Data Science and Society (SDSS) and holds a professorship in the Department of Computer Science at UNC-Chapel Hill. He previously directed the Renaissance Computing Institute (RENCI) and currently acts as its executive advisor. Additionally, he is the associate director of informatics and data science at NC TraCS, the translational research institute at UNC. His academic journey includes a 22-year tenure as professor of electrical and computer engineering at Ohio State University and leadership roles at the Ohio Supercomputer Center. Ahalt’s research focuses on applying data science to societal challenges such as healthcare, climate, and judicial reform. Key initiatives include the National Consortium for Data Science and the iRODS project, which advanced enterprise data management systems. Ahalt has secured over $34.5M in grants to lead high-impact projects like the NHLBI BioData Catalyst (unifying biomedical data), the NCATS Translator (accelerating clinical discovery), and the NIH HEAL Initiative (ensuring FAIR data standards). He mentors students across doctoral and master’s programs, teaching data science fundamentals in courses like COMP 116: Introduction to Scientific Programming. His work emphasizes interdisciplinary collaboration, evidenced by roles in RENCI, NC TraCS, and the SDSS. Ahalt’s contributions span cyberinfrastructure development, educational innovation, and translational research, positioning UNC as a national leader in data science.

Andre Levchenkoمشاهده پروفایل

استاد

• Systems Biology
• Signal Transduction
• Cell Communication
• +۵ مورد دیگر

Andre Levchenko is the John C. Malone Professor of Biomedical Engineering at Yale University, with secondary appointments in the Department of Neurosurgery and affiliations with the Cancer Signaling Networks, Immunology, and the Yale Program in Neurodevelopment and Regeneration. His research focuses on systems biology, signal transduction, and cell-cell communication, utilizing microfluidics and computational modeling to study cancer progression, stem cell behavior, and neurological disorders. PhD, Columbia University MEng, Moscow Institute of Physics and Technology Levchenko's work explores how cells process dynamic signals to make critical decisions, particularly in glioblastoma migration, organoid development, and cardiovascular tissue engineering. His lab develops innovative microfluidic platforms and mathematical models to dissect multicellular communication and signaling networks. Recent publications highlight his contributions to understanding YAP-driven cancer invasion , NOTCH signaling in angiogenesis , and metabolic regulation of hypoxia responses . He has pioneered methods for organoid modeling and single-cell analysis , advancing precision in biological signaling studies. Scientific Awards : Computational Molecular Biology Post-Doctoral Fellowship (Burroughs Wellcome Fund) National Academies Keck Futures Conference Invitee Distinguished Guest Lecturer, University of Virginia American Asthma Foundation Early Excellence Award Fellow, American Institute for Medical and Biological Engineering Levchenko leads the Levchenko Lab at the Yale Systems Biology Institute, collaborating with institutions like Mayo Clinic and Yale Cancer Center. His research has received recognition in Faculty of 1000 and multiple journal highlights.

• Drug Delivery
• Nanomedicine
• Biopharmaceutics
• +۷ مورد دیگر

Dr. Shyh-Dar Li is a Professor and Tong Louie Chair in Pharmaceutical Sciences at the University of British Columbia's Faculty of Pharmaceutical Sciences, where he also serves as Chair of Nanomedicine and Chemical Biology. With a BSc in pharmacy from National Taiwan University (1998) and PhD in pharmaceutical sciences from UNC Chapel Hill (2008), followed by postdoctoral training at UC San Diego's Moores Cancer Center (2009), Dr. Li has established himself as a leading researcher in advanced drug delivery systems. His research focuses on developing innovative nanomedicine platforms for targeted delivery of biological therapeutics including peptides, proteins, antibodies, and nucleic acids. Dr. Li's laboratory has pioneered several novel drug delivery approaches, particularly in lipid-based nanoparticles, phospholipid-free vesicles, and polymer systems for cancer immunotherapy, pain management, and protein delivery. His work bridges fundamental nanotechnology with translational applications for difficult-to-treat diseases. Analysis of his recent publications reveals a strong emphasis on tumor microenvironment modulation, endosomal escape mechanisms for nucleic acid delivery, and non-invasive delivery routes for protein therapeutics. His research demonstrates increasing sophistication in nanocarrier engineering, with recent work incorporating machine learning approaches to optimize nanoparticle design and expanding into immunomodulatory therapies that harness the body's immune system to fight cancer. Scientific Recognition: 2014 AFPC New Investigator Award 2013 AAPS New Investigator Award in Pharmaceutics and Pharmaceutical Technologies 2013 CIHR New Investigator Award 2013 CSPS Early Career Award 2012 Prostate Cancer Foundation Young Investigator Award Dr. Li's research program has been consistently supported by major Canadian funding agencies including CIHR, NSERC, and MITACS. He actively collaborates across disciplines and accepts graduate students into his research program, focusing on cutting-edge approaches to overcome biological barriers in drug delivery. His laboratory, the Laboratory of Targeted Drug Delivery and Nanomedicine, serves as a hub for innovation in pharmaceutical nanotechnology.

Kristian Helinمشاهده پروفایل

استاد

• Cancer biology
• Epigenetics
• Stem cells
• +۵ مورد دیگر

Kristian Helin is Chief Executive and President of The Institute of Cancer Research (ICR), London, and a Professor with affiliations at the University of Copenhagen and Memorial Sloan Kettering Cancer Center. He founded/directed the Biotech Research & Innovation Centre (BRIC), Centre for Epigenetics, and Danish Stem Cell Center. His research focuses on epigenetic regulation, cancer biology, and stem cell differentiation. Education: Ph.D. Molecular Biology, University of Copenhagen (1991) M.Sc. Chemical Engineering, Technical University of Denmark (1988) Research Interests: Helin's work deciphers molecular mechanisms in cancer, emphasizing epigenetic drivers (e.g., H3K4/H3K36 methylation), transcriptional control, and therapeutic targeting. His lab identified E2F transcription factors, linked epigenetic dysregulation to leukemia/lymphoma, and develops drugs targeting kinases/epigenetic enzymes. Research spans acute myeloid leukemia, B-cell lymphoma, and solid tumors using CRISPR screens and preclinical models. Publication Trends: Recent articles (2023-2025) focus on epigenetic therapy, chromatin remodeling, and kinase signaling in cancer. Key themes include targeting NSD1/KDM5C/RIOK2 enzymes, combination therapies (EZH2/DOT1L inhibitors), and metabolic regulation in leukemia. Studies bridge basic mechanisms (enhancer regulation, insulator accessibility) with translational applications. Awards: Anders Jahre Prize (2014), ERC Advanced Grant (2011), Novo Nordisk Prize (2008) Memberships: Academia Europaea, Royal Danish Academy, EMBO Leadership: Helin co-founded EpiTherapeutics (acquired by Gilead) and leads the Epigenetics and Cancer lab at ICR. His team investigates AML pathogenesis and chromatin complexes like HUSH/NURF. Grants include ERC funding and innovation prizes.

Allison Koeneckeمشاهده پروفایل

استادیار

• Algorithmic Fairness
• Computational Social Science
• Public Health
• +۴ مورد دیگر

Allison Koenecke is an Assistant Professor of Information Science at Cornell Tech and a field faculty member in Computer Science at Cornell University. Previously, she was a postdoctoral researcher at Microsoft Research New England and completed her PhD at Stanford University’s Institute for Computational & Mathematical Engineering. Her research focuses on algorithmic fairness, computational social science, and causal inference in public health, addressing disparities in automated systems like speech recognition and policy decision-making. Education : PhD, Stanford Institute for Computational & Mathematical Engineering MA/MS, Stanford University BA/BS, Massachusetts Institute of Technology Research Interests : Dr. Koenecke’s work bridges economics and computer science, emphasizing equity in AI systems. Key areas include: Algorithmic bias in speech recognition (e.g., racial disparities in voice assistants) Fairness in policy tools like environmental justice data systems Causal analysis in public health interventions Ethical implications of large language models in education Media & Impact : Her research has been featured in outlets like New York Times , Science , and Scientific American . Notable studies include exposing racial gaps in speech-to-text systems and advocating for inclusive dataset development. She also explores societal impacts of AI in education and governance. Awards : Sloan Research Fellow in Computer Science Forbes 30 Under 30 in Science NSF Awards Cornell CIS Teaching Excellence Award (2024) Teaching & Outreach : She teaches courses like Designing Fair Algorithms and Data Science for Global Development , emphasizing interdisciplinary collaboration. Her PhD Professionalization course addresses hidden curricula in academia. She advises on AI ethics for nonprofits, tech companies, and government agencies.