People
  /  
Students
2023-2024 Cohort

Dev Ambani

Dev Ambani

As an Electronics and Telecommunications engineer with a deep passion for the transformative potential of AI, Dev is dedicated to bridging the gap between cutting-edge technology and real-world applications.


Matt Anikiej

Matt Anikiej

Matt studied Computer Science during his undergrad at Michigan State University, and during his time there he had an amazing opportunity to do research in creating machine learning models for physics research.


Simrat Bhandari

Simrat Bhandari

Artificial Intelligence has always been an interest of Simrat, particularly NLP and machine learning. She has delved into research work in AI and is looking forward to doing in-depth research into the field that she is passionate about.


Sailaja Bobburi

Sailaja Bobburi

Sailaja Bobburi, a proficient data engineer, is currently advancing her expertise in the Master of Science in Artificial Intelligence (MSAI) program at Northwestern University.


Matthew Daugherty

Matthew Daugherty

After completion of the MSAI program, Matthew hopes to move into a research role in cognitive systems and AGI with a focus in ethics and safety to help ensure that all of humanity can reap the benefits of these powerful technologies.


Pavan Dharmoju

Pavan Dharmoju

With a vision to leverage AI in sectors spanning healthcare to business, Pavan is dedicated to bridging the gap between theoretical knowledge and practical implementation, aiming to devise AI-driven strategies that benefit both corporate sectors and the wider community.


Yiying Gao

Yiying Gao

Yiying earned her Bachelor's degree in Statistics from University of Washington. She has several experiences on Data Science with demonstrated working history in Healthcare Products, Real Estate and Banking.


Naman Garg

Naman Garg

Naman is a recent graduate from S.R.M Institute of Technology, India, with a BS in Computer Science & Engineering (2023). He gained practical experience as a Machine Learning Engineer at Hexo for 7 months, specializing in generative AI, specifically Diffusion models.


Karan Garkel

Karan Garkel

Karan is a graduate of Manipal University Jaipur, India, holding a B.Tech in Information Technology with a specialisation in Data Science, where he executed two major projects.


Ananya Goel

Ananya Goel

Ananya graduated with a Bachelors's degree in Artificial Intelligence and Machine Learning from India. She is a creative thinker, with an innate aptitude to comprehend things with a non-prosaic spectrum.


Rohan Gupta

Rohan Gupta

Rohan Gupta is a skilled and motivated Software Engineer who holds a Bachelor of Technology (B.Tech.) degree in Computer Science from Jaypee Institute of Information Technology, Noida. With a strong proficiency in programming languages such as Golang, Python, and JavaScript, Rohan has a passion for developing scalable solutions.


Shubhi Gupta

Shubhi Gupta

Meet Shubhi Gupta, an aspiring AI enthusiast with a deep-rooted passion for shaping the future of technology. Currently pursuing a Master's degree in Artificial Intelligence at Northwestern University, Shubhi's journey has been marked by a remarkable blend of academic excellence, practical expertise, and a commitment to innovation.


Jonathon Hourmozdi

Jonathon Hourmozdi

MD

Dr. Hourmozdi seeks to understand how advanced algorithms might help improve allocation of scarce resources like solid organ transplantation, and how to mitigate the potential of these algorithms in exacerbating healthcare disparities.


Sai Induvasi

Sai Induvasi

Sai is committed to continuous learning in AI and dedicated to contributing to the ongoing improvement of the field.


Anabella Isaro

Anabella Isaro

Anabella is broadly interested in the emerging approaches of learning human intelligence and cognition through different AI approaches such as knowledge representation, language models, and other learning methodologies.


Mudit Jindal

Mudit Jindal

Mudit, a Computer Science and Engineering graduate from SRM Institute of Science and Technology KTR, India in 2023, was captivated by the potential of AI during his academic journey, leading him to explore beyond traditional computer science boundaries.


john-jacob.jpgJacob John

Jacob John

Jacob's ambition lies in pursuing a role as an AI consultant. He has previously worked as a Senior Data Analyst at Blinkit, a 10-minute grocery delivery app, where my responsibilities revolved around curating experiments and making informed decisions through data-driven insights.


Amogh Karnik

Amogh Karnik

MD

Amogh's primary interests focus on the ways that easily accessible, low-cost technologies can be leveraged to improve detection and diagnosis of cardiovascular disease using deep learning and multimodality imaging.


Mehak Kawatra

Mehak Kawatra

Mehak is a student in the MSAI program.


Aastha Khatgarh

Aastha Khatgarh

When it comes to AI, Aastha's curiosity isn't just confined to just one area. While Machine learning and Natural Language Processing have caught her eye for their broad applications, she is truly excited to explore other subfields as well, be it robotics, computer vision or ethical AI. The endless possibilities of impactful projects are exhilarating to think about.


Yash Khurana

Yash Khurana

Yash is a student in the MSAI program.


Taehyung Kim

Taehyung Kim

Taehyung looks forward to engaging in cutting-edge research, participating in AI-focused initiatives, and nurturing a deep understanding of AI ethics, ensuring that the advancements in AI are harnessed responsibly and ethically.


Ryan Kish

Ryan Kish

Ryan is eager to apply AI techniques to address complex challenges, such as personalizing healthcare solutions, automating menial tasks, and pushing the frontier of AI.


JeongYoon Lee

JeongYoon Lee

JeongYoon studied computer science and applied mathematics & statistics at Stony Brook University in New York and industrial engineering at Ajou University in Korea in her undergraduate.


Xin Li

Xin Li

PhD

Xin has a strong passion for pushing the boundaries of AI algorithms through mathematical insights. Her interest lies in leveraging algorithms and predictive models to conceive and implement innovative approaches for modeling and production. These efforts are geared towards streamlining strategic decision-making processes.


Yijie Li

Yijie Li

Yijie will continue to follow cutting-edge research in the field of computer vision and generative AI and optimize existing models and algorithms to improve their robustness in computationally resource-constrained situations.


Meixi Lu

Meixi Lu

Meixi deeply appreciates the potential impact of AI and believes it can play an indispensable role in more essential areas like healthcare and assistive technology. She is excited to explore more projects in these areas and hopes to work for inclusive labs at Google and Microsoft or related entrepreneurial companies after graduation.


Deeptej More

Deeptej More

At Northwestern University, Deeptej is presently engaged in research under the guidance of Professor Lee A. Cooper, exploring the domain of Machine Learning for Medical Images within the [Computational and Integrative Pathology Group]. His main research areas include Computer Vision and Deep Learning, with a specialization in Few-Shot Learning.


Sai Ganesh Nellore

Sai Ganesh Nellore

Sai's research interests are in the areas of Generative AI, Deep Learning, and Computer Vision. He is also interested in working on interesting projects from various other fields that can leverage Machine Learning and AI. He is looking forward to a great opportunity to collaborate on projects that promote AI innovation.


Shreyasi Periketi

Shreyasi Periketi

Shreyasi is a student in the MSAI program.


Bhavinkumar Rathava

Bhavinkumar Rathava

Bhavinkumar Rathava earned his Bachelor of Technology in Electrical Engineering from the Indian Institute of Technology, Indore (IIT Indore) in 2020. Before joining Northwestern's MSAI program, he also worked as a Graduate Analyst at Barclays GSC, India for 2 years.


Aaryansh Sahay

Aaryansh Sahay

Aaryansh is a proficient engineer and has profound understanding of the hows & the whys, with a keen interest in Explainable Ai, Computer Vision, Natural Language Processing, Generative Networks & Statistical Analysis.


Chethana Saligram

Chethana Saligram

For Chethana, AI represents the capstone of many disciplines. While she is keen to explore intelligent systems pushing the frontiers of AI, she believes that unless AI is ethically homogenized with humans, fears around runaway forces of technological singularity cannot be avoided.


Chanipa Sangphet

Chanipa Sangphet

Chanipa's interests encompass machine learning and computer vision, especially their applications in the healthcare industry. She believes that as the capabilities of AI solutions expand, they will inevitably lead to groundbreaking discoveries and improvements in existing technologies.


Andrew Shen

Andrew Shen

Andrew has a strong background in research starting from high school, with experience in various labs from Stanford Health Care, UCSD Bioinformatics and Computer Science, and Harvard Medical School. He also has a long history of leadership and involvement, from representing UCSD as an Associated Students Senator and Orientation Leader, to roles in student government and the Biology Honors student organization.


Hannah Simmons

Hannah Simmons

Upon completing the MSAI program, Hannah aspires to develop AI based models to advance biomedical research, potentially by building a better understanding of the molecular bases of oncogenesis and drug treatment responses.


Shreya Singh

Shreya Singh

Shreya is an engineering graduate with three years of experience as a Data Scientist. During this time, she has developed AI solutions for various industries, with a strong focus on the fintech domain. Her work primarily involved creating AI solutions for wealth management clients, utilizing state-of-the-art algorithms in the financial sector. These solutions are currently in use across markets in the US, UK, and India.


Tyler Smith

Tyler Smith

At the intersection of medicine and AI, Tyler's enthusiasm lies in the transformative potential AI holds for optimizing cardiovascular patient outcomes. His vision encompasses furthering his medical training while maintaining a discerning focus on data-driven solutions and pioneering novel methodologies empowered by AI.


Russell Spence

Russell Spence

Russell graduated from the University of Wisconsin-Madison in 2023 with degrees in Computer Science and Data Science. He is interested in using AI to help people live healthier lives. He has worked as an intern at Quad Graphics and Medtronic. He is currently an intern at BioCoach, a metabolic health startup in Minnesota.


Shravan Srinivasan

Shravan Srinivasan

Shravan's major area of exploration within AI lies in the realm of healthcare, specifically mental health. He envisions AI as a powerful tool to support individuals in distress or facing mental health challenges, an area he's deeply passionate about exploring. Beyond healthcare, he's equally intrigued by the transformative influence of AI in the entertainment and software industries.


Maung Thu Ra

Maung Thu Ra

Maung is a software engineer with 16 years industrial experience in veterinary practice management systems and loyalty card linking systems. He would also like to learn new technologies, especially in A.I. Maung wants to see technically and mathematically how human emotions would evolve from machine learning.


James Zampa

James Zampa

Upon graduating from Purdue University, James accepted an offer as a Machine Learning Engineer for AvaSure. There he worked on researching and applying computer vision and natural language processing to their application. AvaSure provides remote patient monitoring for hospitals and over his two and half years there he has been able to help launch AvaSure's first AI supported feature, elopement detection and fall risk analysis.