Team

Asongwe Mutah, MS

Graduate student of MS in Data Science

Asongwe Mutah is a graduate student in computer science with a professional background in healthcare, having worked as a medical technologist and QA analyst. His experience spans clinical systems, data quality, and patient-centered workflows, which has informed his transition into machine learning, deep learning, and computer vision. His research focuses on developing predictive models for adverse transfusion reactions and building intelligent agents that support diagnosis by integrating multimodal data such as laboratory results, vital signs, and physician notes, with the goal of improving clinical decision-making and patient outcomes.

Rm318, School of Engineering, Montclair State University, Montclair, NJ 07043

Sangeun Lee, MS

Graduate student of MS in Data Science

Sangeun Lee is a graduate student in Data Science at Montclair State University with a background in Psychology. Her research focuses on the application of machine learning and deep learning techniques to medical imaging, particularly in the analysis of brain MRI for Alzheimer’s disease classification. She works on developing neural network models for image-based diagnostics, with an emphasis on multimodal integration and sequence modeling.

Rm318, School of Engineering, Montclair State University, Montclair, NJ 07043

Ahnasia Goulbourne, BS

Undergraduate student of BS in Data Science

Ahnasia Goulbourne is an undergraduate student pursuing a major in Data Science with a minor in Mathematics. Her current research focuses on the implementation of artificial intelligence and retrieval-augmented generation (RAG) agents to interface with large language models (LLMs) for the evaluation of heart disease risk factors, treatments, and follow-up plans. She brings a strong interdisciplinary foundation to her work at the intersection of data science and healthcare. Ahnasia is especially interested in exploring the broader applications of data science in the medical and/or mathematical field and is eager to continue learning and growing in these areas.

Rm318, School of Engineering, Montclair State University, Montclair, NJ 07043

Pritom Bhowmik, MS, 25

MS in Data Science

Pritom Bhowmik is a recent graduate and AI & Data Science Researcher with 3+ years of experience applying advanced analytics and machine learning to logistics and product intelligence. He focuses on harnessing AI to optimize supply chain workflows and guide strategic product decisions through behavioral data. His research includes Agentic RAG systems, Graph RAG architecture, and AI-driven experimentation, blending cutting-edge methods with practical applications.

Rm318, School of Engineering, Montclair State University, Montclair, NJ 07043

Andres Campoverde, MS, 25

MS in Computer Science

Andres Campoverde is currently enrolled in the Master of Computer Science program at Montclair State University. He is Highly motivated MSc. Computer Science student at Montclair State University with 4+ years of software engineering experience. Leverage expertise in distributed computing, cloud computing, and machine learning to develop high-quality and performant backend code (Go, Python, Typescript, Scala, Java) throughout the software development lifecycle (backend, mobile, frontend). Proven ability to learn quickly, work effectively in teams, and communicate clearly.

Rm318, School of Engineering, Montclair State University, Montclair, NJ 07043

Shibbir Ahmed Arif, MS, 25

MS in Data Science

Shibbir Ahmed Arif is currently enrolled in the Master of Data Science program at Montclair State University. Besides, he is working as a graduate teaching assistant at the School of Computing. He is also involved in the cutting-edge research in natural language processing (NLP) with 2+ years of experience in data science and machine learning using Python. His research interests include artificial intelligence, NLP, and health informatics.

Rm318, School of Engineering, Montclair State University, Montclair, NJ 07043

Ernest Chianumba, MS, 25

MS in Data Science

Ernest Chianumba is currently enrolled in the Master of Data Science program at Montclair State University. He has over 8 years of experience in data analysis and operation management, specializing in healthcare analytics and e-commerce. Proficient in Python, SQL, and PowerBI, Ernest has contributed to research in healthcare predictive analytics, including currently working on a project funded by Bristol Myers Squibb, where he is utilizing NLP models to improve clinical predictions for underrepresented populations. As a Data Analyst Intern at the Port Authority of NY&NJ, he developed interactive dashboards and reports to support key decision-making processes. Ernest is committed to advancing AI and data science technologies through innovative research and practical applications.

Rm318, School of Engineering, Montclair State University, Montclair, NJ 07043

Anand Gopeekrishnan, MS, 24

MS in Data Science

Anand Gopeekrishnan is an experienced and accomplished Machine Learning Engineer with a robust background in Python, Machine Learning, Deep Learning, and Computer Vision. He holds a master's degree in Computer Science with over 6 years of working experience. His expertise includes working on technology projects involving LLMs such as BERT, RoBERTa, and XLM-Roberta, integrating OpenAI models, generating prompts, and utilizing Autogen agents. He aim to work in a challenging environment to gain industrial experience and further develop AI technologies, where he can contribute to the advancement of AI.

Rm318, School of Engineering, Montclair State University, Montclair, NJ 07043

Rachel Rubio, BS

Undergraduate student of BS in Data Science

Rachel Rubio is currently enrolled in the Bachelor of Data Science program at Montclair State University. She is interested in medical image processing and machine learning research.

Rm318, School of Engineering, Montclair State University, Montclair, NJ 07043