Please join NYIT Libraries during this year's National Library Week to commemorate three published members of our faculty! Professors Amanda Golden, Jonathan Ezra Goldman, and Milan Toma will present on their forthcoming books, which delve into topics from 20th century poetry and forgotten histories of Jazz Age New York, to the utilization of AI in modern clinical practices. Refreshments provided.

Amanda Golden is Associate Professor of English and Director of Writing at New York Institute of Technology. She is the author of Annotating Modernism: Marginalia and Pedagogy from Virginia Woolf to the Confessional Poets (2020), co-editor of The Bloomsbury Handbook to Sylvia Plath  (2022) with Anita Helle and Maeve O’Brien, and editor of This Business of Words: Reassessing Anne Sexton (2016). She co-edited The Poems of Sylvia Plath, a new, scholarly, annotated edition of Sylvia Plath’s Collected Poems, with Karen V. Kukil (Faber and Faber, May 2026). Golden is the recipient of numerous research fellowships, including an award from the National Endowment for the Humanities to support The Poems of Sylvia Plath. Golden is Vice President of the Modernist Studies Association and co-organized the 2023 Brooklyn Conference. She has also published in Modernism/modernity, Woolf Studies Annual, and The Space Between: Literature and Culture, 1914-1945.

The Poems of Sylvia Plath is a landmark publication: the definitive edition of the poet’s work for scholars, students, and general readers. Sylvia Plath’s first Collected Poems was published in 1981. This new volume draws on decades of research and almost doubles the content of that edition. The book is in two parts: the first contains the poems Plath composed in the last ten years of her life, and upon which her reputation is founded, and the second includes those poems written in childhood and through her student years. In both sections, the editors have dated, corrected, and arranged each poem chronologically, drawing on manuscripts, typescripts, and related archival material. Critical notes document and cast new light on Plath’s extraordinary evolution as a poet, from her childhood compositions, through the early blossoming of her talent and ambition, and into the molten core that was to shape the poems of her last few years, securing her place in literary history.

Jonathan Ezra Goldman is Professor in the Humanities Department at the New York Institute of Technology. He is the author of Modernism Is the Literature of Celebrity and Joyce and the Law. A specialist in twentieth-century literature and its popular culture and legal contexts, Goldman brings scholarly depth and a storyteller’s instinct to the hidden narratives of America’s most iconic city.

Hidden Histories of Jazz Age New York: From the Suppressed to the Strange is a vivid, surprising portrait of 1920s New York City that uncovers overlooked stories of everyday life, marginalized communities, and cultural upheaval. Jonathan Ezra Goldman reveals the hidden forces shaping the Jazz Age—stories that resonate powerfully with the complexities of our world today.

Dr. Milan Toma, Ph.D. is an Associate Professor at the New York Institute of Technology College of Osteopathic Medicine (NYITCOM), specializing in the integration of artificial intelligence with medical diagnostics. He teaches the official NYITCOM course AI-Assisted Diagnostics, preparing future clinicians to evaluate and apply AI tools in medical practice. Dr. Toma’s recent work centers on leveraging AI, machine learning, and high-performance computing to advance clinical decision-making and diagnostic accuracy in medicine. His expertise includes AI-driven image processing and the development of machine learning models for disease detection, disease prediction, and patient monitoring. At NYITCOM, Dr. Toma collaborates with students and colleagues to create, evaluate, and implement AI solutions for a spectrum of medical challenges. His research also explores sensor-based patient safety systems, medical image classification, and the ethical and practical implications of AI deployment in healthcare.

Diagnosing AI: Evaluation of AI in Clinical Practice serves as a vital, evidence-based guide for clinicians, data scientists, and healthcare leaders at the intersection of artificial intelligence and medicine. As large language models and AI systems become pervasive in healthcare, this book provides a clear, practical framework for understanding their true capabilities and limitations.
Key topics include:

• How AI can create the illusion of expertise, and why confident language doesn’t guarantee diagnostic accuracy
• A step-by-step framework for evaluating machine learning systems in medicine, emphasizing clinical priorities and real-world outcomes
• The importance of validation and economic considerations in AI adoption
• Strategies for addressing challenges such as class imbalance and the need for robust, clinically oriented evaluation protocols

Dr. Toma emphasizes that while general-purpose language models can generate plausible medical text, only specialized, rigorously validated AI systems are appropriate for high-stakes clinical applications. By the end of the book, readers will have the tools to critically assess, implement, and monitor AI in clinical practice, ensuring patient safety and care quality remain at the forefront.