Find Academic Supervisors

Blake SanzView profile

Assistant Professor

• Fiction
• Immigrant Literature
• The American South
• +3 more

Blake Sanz is an Assistant Professor in the Department of English at the University of Wyoming, joining the faculty in 2025. His literary work has earned national recognition through prestigious publications and awards, establishing him as a significant voice in contemporary American fiction. His educational background includes: M.F.A. in Creative Writing from the University of Notre Dame B.A. in English from Loyola University New Orleans Sanz's research centers on Fiction, Immigrant Literature, and The American South, with deep explorations of The Lyric Essay, Narratives of Mental Illness, and Writing as Remix. His work interrogates cultural displacement, psychological complexity, and innovative narrative structures through both creative practice and critical theory. His publications reveal consistent thematic preoccupations with immigrant experiences, Southern landscapes, and mental health narratives. The award-winning collection The Boundaries of Their Dwelling exemplifies his fusion of personal and cultural histories, while recent interviews and essays demonstrate his engagement with contemporary literary discourse and craft innovation. His accolades include: Winner of the Iowa Short Fiction Award Finalist for the Colorado Book Award Longlisted for the William Saroyan Prize for International Fiction Fellowships from Sozopol Fiction Seminars, Sewanee Writers’ Conference, and Jentel Artist Residency Sanz's professional development has been supported by major literary fellowships including Sozopol Fiction Seminars and Sewanee Writers’ Conference, which facilitated his creative output and editorial work as former fiction editor of The Florida Review. His publications span top-tier journals like The Georgia Review and The Missouri Review, reflecting sustained scholarly productivity since 2017.

Xin ZhangView profile

Adjunct Professor

• AI Hardware
• Algorithm Design
• Analog Circuits
• +8 more

Xin Zhang is a Research Staff Member and Manager at IBM T. J. Watson Research Center and an Adjunct Professor in the Department of Electrical Engineering at Columbia University since 2021. His work bridges AI hardware, power electronics, and algorithm design, focusing on energy-efficient systems for machine learning and computing. Affiliation: IBM T. J. Watson Research Center (Research Staff Member/Manager) Affiliation: Columbia University (Adjunct Professor, School of Engineering) His research interests include analog circuits, power management circuits, DC-DC converters, machine learning hardware accelerators, computer system architecture, and AI/ML-assisted EDA tools. He has pioneered AI-driven approaches for circuit topology synthesis and thermal management in hardware. Recent publications highlight innovations in chip placement optimization, secure in-memory computing for AI, and high-efficiency converters for AI SoCs. His work integrates machine learning with power electronics to address challenges in energy efficiency, security, and real-time performance. He has received prestigious recognition as an IBM Master Inventor (2023) and is an IEEE Senior Member. His editorial roles include Guest Editor for IEEE Journal on Emerging and Selected Topics in Circuits and Systems and Associate Editor for IEEE Solid State Circuits Letters. Active in academic and industry leadership, he serves on Technical Program Committees for conferences like APEC, ISSCC, and DAC, and is on the Organizing Committee for the IBM IEEE CAS/EDS AI Compute Symposium since 2019.

• Bilingual and multilingual education
• Irish-language education
• Translanguaging pedagogy
• +7 more

Dr Conchúr Ó Brolcháin is a Lecturer in Language & Literacy Education at Mary Immaculate College (MIC), a constituent college of the University of Limerick, Ireland. He teaches Múineadh na Gaeilge (The Teaching of Irish) and Gaeilge at undergraduate (B.Ed) and postgraduate (M.Ed & PhD) levels, chairs the M.Ed Research Ethics Committee for Gaeltacht & All-Irish Education, and is an active doctoral supervisor. Education Bachelor Master Doctor of Philosophy (PhD) Research Interests Conchúr’s scholarship centres on bilingual and multilingual education , with particular attention to Irish-language immersion , translanguaging pedagogies , minority-language maintenance , and content-and-language integrated learning (CLIL) . His current projects investigate the promotion of Irish in urban DEIS (disadvantaged) schools, the experiences of L3 learners in Gaeltacht immersion contexts, and the integration of language and subject teaching. Recent Research Trajectory Across 2016–2024 his outputs address translanguaging policy and practice, teacher professional development in Irish-medium settings, literacy initiatives in Gaeltacht schools, and family language policies. Collectively these works chart an evolving focus from classroom-level pedagogy to broader sociolinguistic and policy dimensions of Irish-language education. Awards & Fellowships Regional Teaching Excellence Award (2023) – for outstanding higher-education teaching practice Comhaltacht Shéamuis Uí Mhórdha – Séamus Ó Mórdha Research Fellowship (2012) Postgraduate Supervision & Grants He has supervised more than twenty postgraduate projects (Master’s and PhD) on topics ranging from reading-comprehension strategies to blended learning in Irish-medium contexts. External collaborations include funded partnerships with An Chomhairle um Oideachas Gaeltachta agus Gaelscolaíochta and advisory roles with TG4/Fíbín for the home-schooling programme Cúla4 ar Scoil . Laboratories & Teams While no formal lab is listed, Dr Ó Brolcháin leads the MIC M.Ed Research Ethics Committee for Gaeltacht & All-Irish Education and coordinates a growing cohort of doctoral researchers examining language education in immersion and minority-language settings.

Ludmila IsurinView profile

Professor

• Memory Studies
• Bilingualism
• Language Acquisition
• +5 more

Ludmila Isurin is a Professor and Undergraduate Studies Chair in the Department of Slavic and East European Languages and Cultures at The Ohio State University. She holds affiliations with the OSU Interdepartmental Graduate Program in Second Language Studies, the Center for Cognitive and Brain Sciences, the Crane Center for Early Childhood Research and Policy, the Mershon Center for International Security Studies, and the Undergraduate International Studies Program. Dr. Isurin earned her Ph.D. in Second Language Acquisition and Psycholinguistics from Louisiana State University (1999). Her interdisciplinary research bridges psycho- and sociolinguistics, memory studies, and social sciences, focusing on bilingualism, first language attrition, collective memory construction, and immigration dynamics. Key research themes include: Media’s role in shaping collective memory (e.g., Russian-American relations) Language maintenance among diasporic communities Cognitive mechanisms of language forgetting Identity negotiation in immigrant populations Her recent work explores how media narratives influence national memory constructs in Russia and the U.S., funded by the James S. McDonnel Foundation. She directs the Second Language Acquisition track in her department and teaches courses on bilingualism, diaspora studies, and cognitive linguistics. Award-winning publications include *Collective Remembering: Memory in the World and in the Mind* (2017), a nominee for the APA Global Psychology Book Award, and *Reenacting the Enemy: Collective Memory Construction in Russian and U.S. Media* (2022). Her research integrates content analysis with empirical participant data, emphasizing interdisciplinary methodologies. Notable recognitions: Fellow of the Psychonomic Society Editorial Advisory Board member for *Bilingual Processing and Acquisition* Current projects include studying 'Memory of Defeat in the Shaping of Collective Future Thought,' examining how historical narratives influence societal futures. She actively mentors students in Slavic linguistics and second language acquisition research.

Yan LiView profile

Professor

• Nonprobability Sample Analyses
• Health Disparity Analyses
• Survival Data Analyses
• +4 more

Dr. Yan Li is a Professor in the Department of Epidemiology and Biostatistics at the University of Maryland. Her research focuses on developing statistical methods for analyzing complex biomedical samples, particularly improving nonprobability sampling representativeness, health disparity analyses, and genetic association studies. She holds a PhD in Survey Methodology from the University of Maryland and has expertise in combining computer science, genetics, and biostatistics. Education: PostDoc, Biostatistics and Survey Statistics, 2009 (National Cancer Institute) PhD, Survey Methodology, 2006 (University of Maryland) MS, Statistics, 2002 (University of Nebraska) MS, Animal Genetics, 2000 (China Agricultural University) BS, Computer Science, 1997 (Beijing Institute of Technology) Research interests include causal inference using survey data, survival analysis, and genetic studies. Her work bridges computational methods with epidemiological challenges, emphasizing precision in biomedical data interpretation. Dr. Li has contributed to over 50 peer-reviewed publications, focusing on protein engineering, statistical methodologies, and biomedical applications. While no formal awards are listed, her extensive academic contributions reflect her expertise in interdisciplinary research. Her advising and grants focus on statistical methodologies in public health, though specific grant details are not provided. Collaborations likely span biostatistics, computational biology, and epidemiology.

Prue HolmesView profile

Professor

• Researching multilingually
• Intercultural Education
• Language Learning
• +2 more

Prue Holmes is Professor in the School of Education at Durham University (UK), Docent at University of Helsinki (Finland), and founding member of the International Centre for Comparative Study of Doctoral Education. Her research focuses on multilingualism in academic settings and intercultural pedagogy. Research Interests: She investigates how linguistic diversity impacts educational contexts, particularly in conflict zones and migration scenarios. Her work combines ethnographic methods with critical pedagogy to develop inclusive teaching frameworks. Publications: Holmes' recent articles examine multilingual research methodologies and intercultural competence development, showing consistent focus on applying linguistic theories to real-world educational challenges. Awards & Grants: ESRC IAA Impact Acceleration Account (2024) AHRC Global Challenges Research Fund (2019) ERASMUS+ Capacity Building Grant (2017-2021) Supervision & Grants: Has supervised 20+ doctoral students researching intercultural education and secured £500k+ in research funding. Coordinates the Cultnet international research network and leads the 'Building Intercultural Pedagogy in Higher Education' project.

• Finite Geometry
• Projective Geometry
• Design Theory
• +3 more

Alice Man Wa Hui is a Lecturer and Lab Coordinator in the Department of Mathematical and Statistical Sciences at Clemson University, College of Science. She holds a Ph.D. in Mathematics from The University of Hong Kong, a Postgraduate Certificate in Education (Mathematics Education) from The University of Hong Kong, and a B.S. in Mathematics from The Chinese University of Hong Kong. Ph.D., Mathematics, The University of Hong Kong P.G.C.E., Mathematics Education, The University of Hong Kong B.S., Mathematics, The Chinese University of Hong Kong Her research focuses on finite geometry, projective geometry, design theory, graph theory, and coding theory. Notable contributions include studies on secant lines of quadrics in finite projective spaces and properties of elliptic solids. Her work bridges combinatorial structures with geometric configurations, often involving applications in coding and cryptography. Recent publications (2014-2021) explore topics like vertex-isoperimetric numbers of unitals' incidence graphs and symplectic graph-related strongly regular graphs. These studies reflect her expertise in algebraic combinatorics and finite geometries. No scientific awards or grants are explicitly mentioned. She teaches courses such as Introductory Business Statistics and Discrete Mathematical Structures, demonstrating her commitment to both research and undergraduate education. As Lab Coordinator, she oversees experimental and computational facilities supporting mathematical sciences research and teaching.

• DNA Repair Mechanisms
• Replication Stress Responses
• Genetic Disorders
• +3 more

Jennifer Mason is an Associate Professor in the Department of Genetics and Biochemistry at Clemson University. She holds a B.S. in Biology from Central Michigan University and a Ph.D. in Human Genetics from the University of Michigan. Her research focuses on DNA repair mechanisms, replication stress responses, and their implications in genetic disorders and cancer. Key areas include the roles of FBH1, NEK8, and RAD51 proteins in genome stability, with emphasis on ciliopathies, polycystic kidney disease, and cancer therapeutics. Her work explores molecular pathways governing replication fork dynamics, DNA damage signaling, and cellular stress responses. Recent studies highlight her investigation into therapeutic strategies targeting DNA repair defects in FBH1-deficient cells and the development of WEE1 inhibition-based treatments. She also examines the genetic basis of developmental disorders through studies of kinase domain mutations and ciliopathy mechanisms. Jennifer Mason's laboratories are located in multiple facilities at Clemson University's Life Sciences Building (Rooms 56, 57B, 60G, 73, and 75). Her research integrates molecular genetics, cell biology, and biochemical approaches to advance understanding of genome maintenance processes and their clinical applications.

Gloria WashingtonView profile

Associate Professor

• Human-Centered AI
• Affective Computing
• Bias in AI Systems
• +4 more

Dr. Gloria Washington is an Associate Professor in the Department of Electrical Engineering and Computer Science at Howard University's College of Engineering and Architecture. She directs the Affective Biometrics Lab, researching human-centered AI, affective computing, and equity in technology with emphasis on mitigating algorithmic bias and amplifying marginalized voices. Her work investigates AI fairness in speech recognition, explainable hate speech detection, VR-based empathy tools for psychiatric training, and culturally responsive mentorship models. Notable projects include large-scale AAVE data collection for linguistic equity, analysis of microaggressions in clinical interactions, and retention strategies for underrepresented CS students. Educational initiatives focus on social good applications of affective computing, liberatory mentoring frameworks, and HBCU-PWI knowledge transfer for racial equity. Her research bridges technical innovation with social impact, addressing disparities in healthcare, education, and technology access.

Christine E. PotterView profile

Assistant Professor

• Language Learning
• Cognitive Development
• Bilingualism
• +2 more

Dr. Christine E. Potter is an Assistant Professor in the Department of Psychology at The University of Texas at El Paso (UTEP), affiliated with the College of Liberal Arts. Her research investigates how language learners identify useful structures in complex input, focusing on population variations (infants, children, adults), language exposure (monolinguals, bilinguals, second language learners), and cultural/environmental contexts. Educational Background: Ph.D., University of Wisconsin-Madison (2016) Research Focus: Through experimental methods, Dr. Potter explores how early differences in linguistic experience affect long-term language outcomes. Her work spans bilingualism, cognitive development, speech perception, and language processing, emphasizing adaptability in communicative environments. Publication Trends: Recent articles analyze bilingual infants’ code-switching perception, toddlers’ lexical frequency processing, pandemic impacts on language exposure, and computational tools (iCatcher+) for eye-tracking. These reflect interdisciplinary approaches to language acquisition and bilingual experience quantification. Contact: Email: cepotter2@utep.edu Phone: 915-747-6563 Office: Psychology Building, Room 109

Betty YuView profile

Professor

• Bilingualism
• Linguistic Disability Justice
• Raciolinguistic Discrimination
• +3 more

Dr. Betty Yu is a Professor in the Department of Speech, Language, and Hearing Sciences at San Francisco State University. Her work critically examines the intersections of race, language, disability, and institutional practices affecting multilingual children with autism and other neurodivergent identities. She holds certifications including the Certificate of Clinical Competence in Speech-Language Pathology and is a Hanen-certified speech-language pathologist. Yu serves on the advisory board of the Asian Pacific Islander Speech-Language-Hearing Caucus and co-edits the Journal of Critical Study of Communication and Disability . Education: Ph.D. Special Education, UC Berkeley/SFSU Joint Program (2009) M.A. Speech-Language Pathology, NYU (1999) B.A. Linguistics, UC Berkeley (1996) Her research focuses on linguistic disability justice, critiquing raciolinguistic discrimination and ableist systems in clinical practices. Key themes include bilingual child development, neurodiversity frameworks, and anti-racist pedagogy. Recent work challenges pathologization of language variation and promotes inclusive policies for multilingual autistic populations. Awards: 2013 Distinguished Achievement Award (CA Speech-Language-Hearing Association) 2008 Spencer Foundation Fellowship Recognized as SFSU's Distinguished Doctoral Student (2009) Yu's grants and collaborations emphasize community-based participatory research, particularly with Asian American and Pacific Islander communities. She has advised on media projects addressing heritage language preservation and autism advocacy, including NPR's Code Switch podcast episode Lost in Translation . Her lab integrates critical theory with clinical practice, developing culturally responsive assessment tools and decolonizing speech-language pathology education. Current projects explore neurodivergent communication through multimodal AAC systems and anti-ableist language policies in schools.

Nelly TahaView profile

Assistant Professor

• Motivation and Curriculum
• Technology and Curriculum
• Communicative Functions of Code-Switching

Nelly Taha serves as an Assistant Teaching Professor in the Department of Global Studies and Modern Languages at Drexel University, with her office located in Academic Building, room 315. She holds a Law Degree from Alexandria University and a Master of Arts in Teaching from California State University, transitioning from a legal career in Cairo, Egypt to language education after relocating to Los Angeles. Her research focuses on Motivation and Curriculum, Technology and Curriculum, and the Communicative Functions of Code-Switching, driven by firsthand experience addressing demotivating curriculum gaps in Teaching Arabic as a Foreign Language (TAFL). She has published the eBook "Salaam 2 U" for beginners and is developing "Salaam 2 Arabic" for all proficiency levels, reflecting her commitment to innovative Arabic language pedagogy through Egyptian-American cultural exchange initiatives.

Michael GoldwasserView profile

Professor

• Algorithms
• Computer Science Education
• Online Computation
• +5 more

Michael Goldwasser is a Professor of Computer Science at Saint Louis University, where he has served since 2003. He previously held positions at Loyola University Chicago and Princeton University. From 2016 to 2022, he was Chair of the Department of Computer Science. His research focuses on algorithms, particularly online computation and approximation algorithms, and he is active in computer science education. Goldwasser has authored multiple textbooks, including Data Structures & Algorithms in Java, Python, and C++, and has contributed to pedagogical tools like the cs1graphics Python package. Education: Ph.D. in Computer Science (Stanford University), Sc.B. in Math/Computer Science (Brown University). He has taught courses ranging from introductory programming to advanced algorithms, emphasizing both theoretical foundations and practical applications. His work spans scheduling algorithms, bioinformatics, and computational geometry. Goldwasser’s publications include over 20 peer-reviewed articles and textbooks, reflecting his commitment to advancing both research and education in computer science.

Lori RepettiView profile

Professor

• Phonology
• Romance Languages Microvariation
• Linguistic Typology
• +3 more

Lori Repetti is a Distinguished Service Professor in the Department of Linguistics at Stony Brook University. She holds a Ph.D. from UCLA (1989). Her research focuses on phonology, microvariation in Romance languages, and linguistic typology, with a particular emphasis on Italian dialects. Her work has been funded by the National Endowment for the Humanities (NEH) and the National Science Foundation (NSF). She co-created the Clitics of Romance Languages (CRL) database, a resource for studying clitic pronouns in endangered Romance varieties. Repetti also contributes to linguistics pedagogy, developing innovative courses like the asynchronous general-education course Language in the United States . Education: Ph.D. in Linguistics, UCLA, 1989 Funding: NEH and NSF grants supporting fieldwork and typological research Key Projects: CRL database, reduplication typology study, loanword phonology research Her research interests include the interaction between phonology and syntax, the documentation of endangered languages, and the teaching of linguistics through Latin. She has published extensively on clitic positioning, syllabification processes, and microvariation in Romance dialects. Repetti collaborates internationally, presenting at conferences such as the Linguistic Symposium on Romance Languages (LSRL) and contributing to edited volumes on Romance linguistics.

Francesco AudrinoView profile

Professor

• Computational Statistics
• Financial Econometrics
• Machine Learning
• +6 more

Francesco Audrino is a Professor of Statistics at the Department of Mathematics and Statistics, University of St. Gallen, affiliated with the School of Economics and Political Science (SEPS). He holds a Diploma in Mathematics from ETH Zurich (specializing in Financial and Insurance Mathematics) and a Ph.D. in Statistics/Finance from ETH Zurich, with a thesis on statistical methods for high-dimensional financial time series. Research Focus: Computational Statistics applied to Economics and Finance, Financial Econometrics, Sentiment Analysis, Volatility Estimation, and Regime-switching Models. His work emphasizes nonparametric methods (e.g., Functional Gradient Descent) and their applications in asset pricing, interest rate dynamics, and risk management. Recent projects include the SentiVol program for sentiment-driven volatility forecasting and causal machine learning analyses of post-earnings sentiment impacts. Selected Projects: Director of the SentiVol SNF Grant (2017–2020) on sentiment analysis for volatility prediction. Co-Director of the SNF Grant on Behavioral Asset Pricing (2010–2013). Leading research on cross-asset dependency structures and causal machine learning applications. Awards & Recognition: Swiss Society of Economics and Statistics Young Economist Award (2007). University of St. Gallen’s Best Researcher Award (2007). Teaching load reduction for outstanding publications (2009–2018). Teaching & Academic Service: Teaches Statistics, Financial Volatility, and Computational Statistics at bachelor’s, master’s, and Ph.D. levels. Served as Elected Member of the Board of Directors of the European Regional Section of the International Association for Statistical Computing (2016–2020). Active in academic networks like the Computational Financial Econometrics (CFE) Network. Labs & Resources: Developed the FGD Code package for nonparametric high-dimensional time series analysis, widely used in volatility and correlation modeling. Maintains real-time volatility forecasts for S&P 500 constituents via the SentiVol project.