Dr. Harshala Gammulle is a Research Fellow at Queensland University of Technology (QUT), School of Electrical Engineering & Robotics. She holds a PhD in Computer Vision from QUT (2019), receiving the QUT Executive Dean's Commendation for Outstanding Doctoral Thesis. Her expertise spans machine learning, computer vision, and spatio-temporal modeling for human behavior understanding. She leads interdisciplinary projects with funding from DST Group, SmartSat CRC, QLD DESI, and others. Research focuses include: human action recognition, medical anomaly detection, satellite image analysis, and AI for environmental monitoring. Key projects involve quantum-classical hybrid ML for biomedical signal analysis, disaster forecasting via hyperspectral data, and autonomous combat vision systems. She has supervised PhD/MPhil candidates in ML and quantum hybrid ML. Education: PhD (Computer Vision, QUT 2019), BSc (University of Peradeniya, Sri Lanka). Awards: WiT Emerging Achiever Technology Award finalist (2021), University Award for Academic Excellence (2015). Teaching includes units like Digital Signals and Image Processing (EGH444), and Computing & Data for Engineers (EGB103). Current grants involve QLD DESI, SmartSat CRC, and Rheinmetall Defence Australia collaborations. Active in labs like SAIVT and QUT's Early Career Research schemes.
Dr. Dawn M. Gondoli is a Professor in the Department of Psychology at the University of Notre Dame, located in Corbett Family Hall. She serves as the Developmental Area Director and leads the Socioemotional Development Lab, focusing on adolescent development, parenting practices, and psychological well-being within family systems. Her work emphasizes the interplay between stress, parenting, and developmental outcomes in typically developing families and those affected by ADHD. Dr. Gondoli holds a Ph.D. (1994), M.S. (1991), and B.A. (1986) in Psychology from the University of Arizona and SUNY Buffalo, respectively. Her research spans three core areas: (1) parenting and adolescent well-being, particularly in ADHD contexts; (2) body image and disordered eating among mothers, adolescents, and young adults, with a focus on mother-daughter dynamics and interoception; and (3) cognitive processes underlying ADHD and interoceptive awareness. Collaborations with Dr. Bradley Gibson advance interventions targeting cognitive and parent training for ADHD management. Her publications address topics such as maternal stress, ADHD symptomatology, sleep quality, and media’s impact on body image. Notable studies include randomized controlled trials for cognitive interventions and analyses of dyadic relationships in disordered eating. While no explicit awards are listed, her extensive peer-reviewed output underscores scholarly impact. Dr. Gondoli’s advising and grants focus on developmental and clinical research, though specific grant details are not provided. Her lab integrates interdisciplinary methods to address family and individual psychological health, emphasizing translational research to improve clinical outcomes.
Dr. Regina Lapate serves as an Assistant Professor in the Department of Psychological and Brain Sciences at the University of California, Santa Barbara (UCSB), within the College of Letters & Science. She directs the LEAP Neuro Lab (Lapate Experimental Affective Psychophysiology and Neuroscience Laboratory), where her team investigates neural mechanisms of emotion-cognition interactions using multimodal methodologies including TMS, EEG, fMRI, and psychophysiology. Her educational trajectory includes a PhD from the University of Wisconsin-Madison (2015) under Dr. Richard Davidson, followed by an NIH postdoctoral fellowship at UC Berkeley (2016) with Dr. Mark D'Esposito. She co-edited the 2nd edition of The Nature of Emotion: Fundamental Questions in 2018. Dr. Lapate's research centers on emotional processing, cognitive control, and adaptive emotion regulation, with particular emphasis on temporal memory dynamics and prefrontal cortex function. Her lab employs causal inference approaches to explore how emotional states sculpt sensory processing and behavioral goals, aiming to uncover mechanisms that promote resilience against psychopathology. Recent work demonstrates how emotional context modulates temporal memory and action goal representations, revealing critical prefrontal circuitry involved in emotional adaptation. Her publication trends reveal deep integration of time perception with emotional processing, neurostimulation-based causal testing of prefrontal mechanisms, and translational applications for mood and anxiety disorders. The 2024-2025 publications particularly highlight anorexia nervosa symptomatology, temporal coding in emotion, and open-loop motor circuit dissociations. Scientific recognition includes: Hellman Fellowship (2024) Prestigious NIH grant for prefrontal mechanism research (2023) Regent’s Junior Faculty Award (2023) Dr. Lapate has secured substantial grant funding including an NIH award to elucidate prefrontal mechanisms of emotional processing and regulation. Her LEAP Neuro Lab functions as a collaborative hub where graduate and undergraduate researchers investigate fundamental questions about how emotional experiences dynamically interact with cognitive processes to shape adaptive functioning and psychopathology vulnerability.
Gretchen Sunderman is a Professor and Associate Chair for Undergraduate Studies in the Department of Modern Languages and Linguistics at Florida State University. She holds an office in Diffenbaugh Building 324 and can be reached at gsunderman@fsu.edu . Her research focuses on psycholinguistics, bilingualism, and second language acquisition, with particular attention to cognitive control mechanisms in language processing. Her research interests include the bilingual lexicon, inhibitory control in bilingual production, and individual differences in language processing. She has contributed to understanding the dynamics of second language acquisition through studies on executive functions, language switching, and the role of working memory in language learning. Dr. Sunderman teaches courses such as Introduction to Linguistics, Psycholinguistics, and Bilingualism. Her work bridges cognitive psychology, applied linguistics, and education, addressing topics like code-switching, heritage language learners, and the impact of technology on bilingual education. Her advising and grant activities are not explicitly detailed in the provided materials, though her extensive publications reflect a strong focus on collaborative research in cognitive and applied linguistics.
Willy Zwaenepoel is a Professor and Dean of the Faculty of Engineering at the University of Sydney. He holds a B.S. from the University of Gent and M.S./Ph.D. from Stanford University. Previously, he served as Dean of the School of Computer and Communication Sciences at EPFL and was a faculty member at Rice University. His expertise spans operating systems, distributed systems, and high-performance computing. Education: B.S., University of Ghent, Belgium (1979) M.S., Stanford University (1980) Ph.D., Stanford University (1984) Research Interests: Dr. Zwaenepoel focuses on distributed systems, operating systems, and their applications in database replication, virtual machine performance, and software update mechanisms. His work includes foundational contributions to distributed shared memory (e.g., Treadmarks) and startups like iMimic Networking. Awards: ACM Fellow (2000) IEEE Fellow (1998) Fellow of the Australian Academy of Technical Sciences and Engineering (2020) Recipient of the IEEE Tsutomu Kanai Award (2007) Key Contributions: His research addresses challenges in distributed systems performance, such as latency reduction in key-value stores and efficient graph processing. Current projects explore I/O optimization in virtualized environments and causal consistency for geo-replicated systems. Students/Advising: Advises Ph.D. students and postdocs, including William in database replication. His mentorship led to the Rice University Teaching Award (2000).
Kristin Konnyu is a Lecturer in Implementation Science at the Aberdeen Centre for Evaluation, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen. She was previously an Assistant Professor at Brown University’s Center for Evidence Synthesis in Health. Her work bridges evidence synthesis and implementation science across health, public health, and climate change interventions. Education: PhD in Epidemiology, University of Ottawa (2018) BEd in Education, University of Ottawa (2013) MSc in Rehabilitation Sciences, University of British Columbia (2008) BSc in Anatomy and Cell Biology, McGill University (2005) Her research focuses on methods for synthesizing complex interventions and translating evidence into practice, particularly in complex systems involving multiple actors and behaviors. She is interested in de-implementation of low-value care, healthcare innovation adoption, and climate change mitigation in healthcare. She employs interdisciplinary approaches, drawing from epidemiology, education, and rehabilitation sciences. Her recent publications demonstrate strong trends in systematic reviews, meta-analyses, and methodological innovation in implementation science. She frequently contributes to Cochrane reviews and protocols, with a focus on audit and feedback, behavior change techniques, antenatal care, and environmental impacts of health interventions. Her work often involves large collaborative teams and high-impact journals. Scientific Awards: Robert L. Kane Memorial Award (2022) Joseph De Koninick Prize for Outstanding Doctoral Thesis (2019) Worton Researcher in Training Award (2018) Award of Excellence, Faculty of Medicine, University of Ottawa (2017) Kristin Konnyu supervises Masters and PhD students in Applied Health Sciences, with interests in implementation science and evidence synthesis for complex problems. She is co-course coordinator for PU5031: Evidence-based Health and evaluator for two other postgraduate courses. She also teaches short courses and webinars on implementation and evidence synthesis methods. She is affiliated with the Cochrane Collaboration and serves as a methods editor for the Climate Solutions Working Group at the Campbell Collaboration. She leads and contributes to major commissioned reports for agencies like AHRQ and the Department of Veterans Affairs, and her work supports health policy and clinical decision-making. Her lab and team collaborations are extensive, involving international researchers in systematic review methodology and implementation science.
Nancy Reagin is a Professor in the Department of Women's and Gender Studies at Pace University’s Dyson College of Arts and Sciences. She holds a PhD from Johns Hopkins University and has established herself as a leading scholar in European history, particularly in German gender history, consumer culture, and the cultural politics of fandom. Her interdisciplinary work bridges history, gender studies, and popular culture. PhD, Johns Hopkins University, 1990 MA, Johns Hopkins University, 1985 BA, University of California at Berkeley, 1983 Her research focuses on the intersections of gender, national identity, and domestic life in modern Germany, with significant contributions to understanding how consumer culture and household practices shaped national ideologies from the 19th century through the Nazi era. She has also pioneered scholarly exploration of fan communities, historical reenactment, and the use of science fiction and fantasy literature as sites of historical imagination and political analogy. Her work often examines how popular media reinterprets and refracts historical narratives. Her recent publications reveal a strong trend toward analyzing fandom as a form of historical engagement, particularly in transatlantic contexts. She investigates how Western reenactment, Star Wars , and Harry Potter serve as vehicles for processing historical trauma, constructing identity, and negotiating political ideologies. These works span cultural history, media studies, and reception theory, demonstrating her interdisciplinary reach. LGBTQ Educator of the Year Award, Pace University, 2015 Kenan Award for Teaching Excellence, Pace University, 2014 Undergraduate Research Initiative Award, Pace University, 2011 Distinguished Faculty Research Award, Dyson College, 2010 Special Service Award, Pace Student Government Association, 2001 Nancy Reagin has been deeply involved in academic leadership and mentoring, having chaired the Department of Women's and Gender Studies, the Faculty Council, and served as interim Academic Associate Provost. She has secured significant research funding from the National Endowment for the Humanities, Fulbright, and Verizon, supporting projects on educational resources and historical research. While specific advisees are not listed, her leadership in undergraduate research and teaching excellence underscores her commitment to student mentorship. Her work on educational initiatives, including the 'Reacting to the Past' pedagogical model, reflects her engagement with innovative teaching methods that immerse students in historical role-playing. She has also contributed to public-facing scholarship through edited companions to fantasy and science fiction literature, expanding the reach of historical analysis beyond academia.
Christian Kühn is a Professor of Multiscale and Stochastic Dynamics at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. He has been an External Faculty member at the Complexity Science Hub Vienna since 2017, reflecting his interdisciplinary engagement in complex systems research. His academic background includes a BSc in Mathematics from Jacobs University Bremen (2005), an M.A.St. from the University of Cambridge (2006), and a PhD in Applied Mathematics from Cornell University (2010). He held postdoctoral positions at the Max Planck Institute for the Physics of Complex Systems in Dresden and the Vienna University of Technology, where he also served as an APART-Fellow and Leibniz Fellow. Christian Kühn's research lies at the intersection of differential equations, dynamical systems, and mathematical modeling. He focuses on multiscale problems, the impact of noise and uncertainty in deterministic and stochastic systems, and adaptive networks. Central phenomena of interest include bifurcations, pattern formation, and scaling laws. His work bridges theoretical developments with applications in epidemiology, neuroscience, and complex network dynamics. His recent publications (2021–2024) reflect a strong trend in analyzing nonlinear and stochastic dynamics on networks, with applications ranging from epidemic modeling to synchronization and critical transitions. Key themes include explosive phenomena, adaptive network behavior, moment closure methods, and non-Markovian systems, demonstrating a consistent focus on foundational aspects of dynamical systems with practical relevance. Notable scientific awards include: Richard-von-Mises Prize, GAMM (2017) Lichtenberg Professorship, VolkswagenStiftung (2016) Best Paper Award, TU Vienna (2014) Leibniz Fellow, Oberwolfach (2013) APART-Fellow, Austrian Academy of Sciences (2012) While specific details about advised students are not provided, his role as a full professor and active researcher suggests involvement in mentoring graduate students and postdoctoral researchers. His work has been supported by prestigious grants such as the Lichtenberg Professorship. He leads research in multiscale and stochastic dynamics, contributing to both theoretical advances and interdisciplinary applications. Kühn is part of vibrant research environments at TUM and the Complexity Science Hub Vienna, collaborating with leading scientists in network science, applied mathematics, and complex systems. His work continues to advance the understanding of critical transitions and nonlinear behavior in high-dimensional and stochastic systems.
Maryam Mehri Dehnavi is an Associate Professor in the Department of Computer Science at the University of Toronto and a Principal Research Scientist at NVIDIA. She holds the Canada Research Chair in Parallel and Distributed Computing and leads the ParaMathics research group. Research focuses on high-performance computing , machine learning , sparse matrix optimizations , and compiler design for heterogeneous systems. Her work develops domain-specific languages , scalable numerical libraries , and auto-vectorization techniques for cloud and GPU platforms. Recent publications address LLM compression , sparse code translation , GPU kernel synchronization , and control flow optimization . Scientific recognition: Ontario Early Researcher Award (2021), NSF CRII Grant, NSERC New Frontiers in Research Fund. Current students: Mushegh Shahinyan , Martin Phan , Maryam Haghifam , and others. Former advisees: Kazem Cheshmi (NJIT), Zachary Blanco (MIT Lincoln Lab), Yuanxi Li (Amazon).
Professor Catherine Schenk holds the Professorship of Economic and Social History at the University of Glasgow's Faculty of History, appointed in 2017. She is also an Associate Fellow at Chatham House's International Economics Department and a fellow of St Hilda’s College. Her academic journey includes a BA/MA from the University of Toronto and a PhD from LSE, where she won prestigious research prizes. Her research focuses on post-1945 international monetary and financial relations, particularly East Asia and the UK. Major works include International Economic Relations since 1945 (2011) and The Decline of Sterling (2010). Current projects explore how policymakers and market actors use historical precedents in decision-making, as seen in the HERA-funded UPIER initiative. Key research themes: International banking regulation, post-Bretton Woods systems, currency competition, and crisis learning mechanisms Fieldwork: Visits to IMF, Hong Kong Monetary Authority, and University of Hong Kong Her scholarship spans over 50 peer-reviewed articles analyzing topics like the Hong Kong currency board, Basel Committee origins, and 20th-century financial crises. Awards include the Sayers Prize (LSE) and International Economic History Association's best thesis award. Grants and collaborations include leading the EU-funded UPIER project (2020-2023) and co-editing the Oxford Handbook of Banking and Financial History . She has advised central banks on historical policy comparisons and spoken widely on financial crisis preparedness.
Elizabeth J. Hong is a Professor of Neuroscience and Chen Scholar at the California Institute of Technology, serving as Interim Director of the T&C Chen Center for Systems Neuroscience. She holds academic appointments including Assistant Professor (2015-23), Boothe Luce Assistant Professor (2015-21), and Professor (2023–present). Her research focuses on synaptic molecular diversity and its impact on neural circuit computations, using the Drosophila olfactory system as a model. Key contributions include studies on odor-driven behaviors, synaptic physiology, and genetic manipulation strategies for circuit analysis. Education : B.S., California Institute of Technology, 2002 Ph.D., Harvard University, 2009 Research Interests : Her lab investigates how molecular differences at synapses influence physiological function and circuit-level computations. Using Drosophila's genetic toolkit, they combine in vivo electrophysiology, two-photon imaging, and behavioral assays to link synaptic properties to neural coding. Current projects explore odor representation restructuring, CO₂ sensory pathways, and the developmental basis of neural circuits. Awards : Chen Scholar (2021–present) Advisees/Grants : While specific student names aren't listed, the lab recruits trainees interested in synapse biology, neural circuits, and behavioral genetics. Techniques employed include TRACT (transneuronal transcription control) for circuit tracing and optogenetic tools for functional interrogation. Labs/Teams : The Hong Lab collaborates with the T&C Chen Center, focusing on systems-level neuroscience questions. Their work bridges molecular mechanisms with behavior, emphasizing evolutionary and developmental perspectives.
Marco Polverini is an active computer networking researcher with a prolific publication record spanning over a decade, with 59 publications documented from 2012 to 2025. His work primarily focuses on advanced networking technologies including Segment Routing, Software Defined Networking, and Network Function Virtualization. His research interests center around network routing optimization, traffic engineering, and network monitoring. He has made significant contributions to Segment Routing technology, developing novel behaviors for low-latency communication, black hole detection mechanisms, and traffic matrix assessment techniques. His recent work integrates artificial intelligence approaches, particularly reinforcement learning, with traditional networking protocols to create more adaptive and efficient network systems. He has also been exploring the application of Digital Twin technology for network management and optimization. Analysis of his publication trends shows a clear evolution from foundational work on energy-efficient networking and traffic engineering to more recent innovations in Segment Routing, in-band network telemetry, and AI-driven network optimization. His publications consistently appear in top networking venues including IEEE JSAC, IEEE Transactions on Network and Service Management, INFOCOM, and NOMS, demonstrating his standing within the networking research community. Throughout his career, Polverini has maintained strong collaborative relationships, particularly with Antonio Cianfrani (54 joint publications), Marco Listanti (33 publications), and Francesco Giacinto Lavacca (16 publications), suggesting he works within a well-established research group focused on next-generation networking technologies.
Thomas Höfer serves as Professor of Theoretical Systems Biology (W3) at Heidelberg University's Faculty of Biosciences and heads the Theoretical Systems Biology Division at the German Cancer Research Center (DKFZ). His work bridges mathematical modeling with experimental biology to decipher complex cellular processes. His research focuses on theoretical systems biology with emphasis on cancer evolution , hematopoietic stem cell dynamics , immune cell regulation , and transcriptional control mechanisms . Höfer's group develops quantitative frameworks to understand spatio-temporal organization in cellular signaling, particularly in glioblastoma progression, T-cell differentiation, and DNA repair processes. Analysis of his recent publications reveals a strong trend toward single-cell resolution modeling integrated with high-throughput experimental data , particularly in cancer heterogeneity and immune responses. His work frequently employs stochastic modeling and multi-scale approaches connecting molecular events to cellular phenotypes. Awards and recognitions include: Reinhart Heinrich Lecture (2011) Landahl Award from Society for Mathematical Biology (1994) Jowett Senior Scholar at Balliol College Oxford (1994-1996) Visiting professorship at École Normale Supérieur (2019/2020) Höfer coordinates major research consortia including the ERA CoSysMed OPTIMIZE-NB project optimizing neuroblastoma therapies and previously led the E:Bio ImmunoQuant consortium. His division at DKFZ collaborates extensively with experimental groups at BioQuant Center and within the CellNetworks Cluster of Excellence. He serves on editorial boards for Cell Systems and European Journal of Immunology , reflecting his interdisciplinary impact across computational biology and immunology.
Hongxin Hu is a Professor and Associate Chair in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York (SUNY). His research spans security, networking, and machine learning, with publications across top conferences including security (S&P, CCS, USENIX Security, and NDSS), networking (SIGCOMM and NSDI), machine learning (NeurIPS, ICML, and EMNLP), and human-computer interaction (CHI and CSCW). His work has been funded by NSF (SaTC, CNS, IIS, OAC, SOC), USDOT, VMware, Amazon, Google, and Dell. Dr. Hu earned his PhD in Computer Science and Engineering from Arizona State University in 2012. His academic journey has led him to become a prominent researcher in cybersecurity with a strong publication record and significant research impact. Dr. Hu's research interests encompass a wide range of topics at the intersection of security, networking, and artificial intelligence. His work focuses on Emerging Network Technologies and Security (5G/Future-G, NFV, SDN, Edge computing), Machine Learning for Security and Privacy , Security and Privacy in IoT and Cyber-Physical Systems , and AI for Social Good (addressing online abuse, unsafe children's games, and cyberbullying). His interdisciplinary approach has enabled him to tackle complex security challenges through innovative solutions that combine networking expertise with machine learning techniques. His recent publications demonstrate a strong trend toward applying large language models and advanced machine learning techniques to security challenges, particularly in content moderation, vulnerability detection, and privacy protection. The research spans multiple domains including voice assistant security, IoT security, network security, and social media safety, showing a consistent pattern of addressing real-world security problems with cutting-edge technical approaches. IEEE Big Data Security Senior Research Award (2025) ACM SACMAT Test-of-Time Award (2024) NSF CAREER Award (2019) Multiple Best Paper Awards from ACM ASIACCS (2022), ACSAC (2020), IEEE ICC (2020), and ACM SIGCSE (2018) Amazon Faculty Research Award (2022) First Place Award in ACM SIGCOMM 2018 Student Research Competition Dr. Hu has successfully advised multiple PhD students, including Nishant Vishwamitra who joined UT San Antonio as a tenure-track Assistant Professor. His research has been generously funded by major agencies and industry partners. As an active member of the academic community, he serves as Associate Editor for IEEE Transactions on Dependable and Secure Computing and Computers & Security, and has held numerous leadership roles in major security conferences including TPC Co-Chair for ASONAM 2025 and IWSPA 2024/2025. Dr. Hu leads a vibrant research group that has produced significant contributions in network security function virtualization, intrusion detection systems, and privacy-preserving technologies. Current projects include developing LLM-assisted vulnerability detection systems, defenses against jailbreak attacks on large language models, and security mechanisms for emerging networking technologies. His team's work on IoT security, voice assistant applications, and online content moderation has received wide recognition and press coverage.
Shelley L. Berger is the Daniel S. Och University Professor at the University of Pennsylvania, holding a "Penn Integrates Knowledge" Presidential Appointment. She serves as Director of the Epigenetics Institute at the Perelman School of Medicine and is Co-Director of the Tumor Biology Program at the Abramson Cancer Center. Her academic appointments span multiple departments including Cell and Developmental Biology, Biology, and Genetics. Dr. Berger earned her B.S. in Biology from the University of Michigan, Ann Arbor in 1982, followed by a Ph.D. in Cell & Molecular Biology from the same institution in 1987. Her distinguished career has led to her current position as a University Professor, one of the highest academic honors at the University of Pennsylvania. Dr. Berger's research focuses on epigenetics and chromatin structure/function in genomic regulation, with particular interest in post-translational modifications of histones and transcription factors. Her laboratory investigates how DNA-packaging structures are manipulated during genomic processes, with applications to understanding cancer, neurodegeneration, and other diseases. Her work spans multiple biological contexts including: Chromatin regulation of transcription Neuroepigenetics and memory formation Behavioral epigenetics in social insects Chromatin regulation in aging and senescence Cancer epigenetics and tumor suppressor mechanisms Analysis of Dr. Berger's recent publications reveals a strong focus on the intersection of epigenetics with aging, cancer, and neurobiology. Her work demonstrates how histone modifications and chromatin remodeling influence cellular senescence, with implications for age-related diseases including Alzheimer's. She has also pioneered research on epigenetic mechanisms in social behavior using ant models, and in T cell exhaustion relevant to cancer immunotherapy. A unifying theme across her publications is the role of specific histone modifications and chromatin regulators in controlling gene expression programs in diverse biological contexts. Dr. Berger has received numerous honors including her appointment as a Daniel S. Och University Professor and a "Penn Integrates Knowledge" Presidential Appointment, recognizing her exceptional interdisciplinary contributions to science. These prestigious appointments reflect her significant impact on the fields of epigenetics and chromatin biology. Dr. Berger mentors a vibrant research team consisting of multiple postdoctoral researchers, graduate students, and research specialists. Her laboratory, part of the Epigenetics Institute at Penn, investigates fundamental mechanisms of chromatin regulation with implications for human health and disease. Current research directions include exploring how epigenetic mechanisms control aging processes, cancer development, and social behavior in model organisms. Dr. Berger collaborates extensively with other leading researchers, including Carl June (pioneer of CAR T cell therapy) and John Wherry (expert in T cell exhaustion), to translate basic epigenetic discoveries into potential therapeutic applications. The Berger Lab operates within the Smilow Center for Translational Research at the University of Pennsylvania. The lab employs a multidisciplinary approach combining molecular biology, genomics, bioinformatics, and model organism studies to investigate chromatin regulation. Current research foci include epigenetic mechanisms in aging and senescence, cancer epigenetics, neuroepigenetics, and behavioral epigenetics in social insects.
