Meet Rutgers Medicinal Chemist Who’s Forging a Path with Molecular AI at Neovarsity

Update [August 2024]: Anastasiia has joined the University of Pennsylvania to pursue a PhD focused on applying AI to synthetic chemistry.

Meet Anastasiia

Anastasiia Tsymbal's (Ana) journey in chemistry began in Moscow, Russia, where her passion for the subject ignited at a young age.

Her remarkable academic and research trajectory has propelled her to the forefront of innovative chemistry.

Currently, she holds a research associate position in Molecular Design and Synthesis at Rutgers University, where she is actively contributing her synthetic and computational skills to medicinal chemistry projects.

Prior to this, she also held positions at Harvard University and l’Ecole Polytechnique Fédérale de Lausanne (EPFL).

Furthermore, she has made contributions to her field by co-authoring research published in esteemed journals, including the Journal of the American Chemical Society (JACS) and the Journal of Medicinal Chemistry (J Med Chem).

Now, she's embarked on a new chapter with Neovarsity, where she's mastering cutting-edge skills in molecular artificial intelligence to drive future breakthroughs in her medicinal chemistry research.

When asked about her motivation for embarking on the journey to learn molecular AI, Ana explained:

"Over the past few years, I've become increasingly involved in medicinal chemistry projects at Rutgers University. As I delved deeper, I felt a growing curiosity about the diverse approaches people around me were using to tackle similar challenges. I have been attending relevant webinars and staying on top of recent technologies. After attending several conferences and talking to more people, I have come to understand that the current future of early hit-finding programs involves applying machine learning and artificial intelligence models to analyze big data.”

Early Curiosity and Mastering Chemistry

Ana's fascination with chemistry led her to the Laboratory of Glycoconjugate Chemistry at the Zelinsky Institute of Organic Chemistry (IOC), a prestigious institution under the Russian Academy of Sciences (RAS). Even in high school, Ana was driven by curiosity, and her early involvement in research set the stage for her impressive career.

Ana's dedication to her studies earned her a spot at the Higher Chemical College (HCC RAS) within the Mendeleyev University of Chemical Technology. Despite the rigorous demands of her diploma, she continued her research journey at the IOC. Her dedication paid off as she graduated early with a master's degree in chemistry, laying the foundation for her future accomplishments.

Ana's pursuit of knowledge took her across the globe. She joined Dr. D. Loginov's laboratory at the Nesmeyanov Institute of Organoelement Compounds of RAS and later embarked on a transformative journey to Harvard, where she worked in the laboratory of Professor G. M. Whitesides.

Her expertise continued to expand as she ventured to Switzerland, collaborating on organometallic chemistry with Professor N. Cramer at l’Ecole Polytechnique Fédérale de Lausanne. Each research stint contributed to her impressive portfolio of publications.

Ana's academic journey didn't stop with her early graduation. She furthered her academic pursuits on the East Coast, joining the Molecular Design and Synthesis group at Rutgers University. Here, she applies her synthesis and computational drug design skills to various research projects.

Learning Molecular AI with Neovarsity

Ana, driven by her unrelenting pursuit of knowledge and progress, has embarked on an exciting educational journey with Neovarsity's Molecular AI specialization program. Within this program, she is practicing cutting-edge skills that hold the potential to revolutionize the field of medicinal chemistry. Through her involvement with Neovarsity, Ana aspires to leverage the power of cheminformatics, machine learning, and artificial intelligence to accelerate drug discovery and enhance our comprehension of chemical processes.

In her own words:

"I have been actively applying my newly acquired skills to the medicinal chemistry projects I am involved in [at Rutgers]. This involved creating targeted libraries and generating various substituents for my lead compounds. Furthermore, I have designed different filtration protocols customized to meet the unique requirements of certain programs, such as implementing filtration protocols based on potency to cross the blood-brain barrier in Neurology programs. Moreover, my coursework at Neovarsity has provided me with the expertise needed to analyze molecular fingerprints, create my own descriptors, and utilize them in machine learning and Quantitative Structure-Activity Relationship (QSAR) protocols. I'm now also leveraging FEP calculations with my newly learned machine learning skills.”

As Ana progresses through the Molecular AI program, she envisions applying her newfound skills to address some of the most pressing challenges in medicinal chemistry. From designing novel drug candidates with enhanced efficacy to unraveling complex biochemical interactions, Ana is determined to make a significant impact on the field.

She says:

"Right now, my greatest interest lies in making a meaningful contribution to target evaluations and discovering the crucial first hits. I'm particularly drawn to initiating programs and exploring what were previously considered 'undruggable targets. I believe that by tackling these challenges, we can truly make a significant impact."

Building Future in Data-Driven Medicinal Chemistry

Ana's journey as a learner at Neovarsity's Molecular AI program is a testament to her unwavering passion for medicinal chemistry and her commitment to staying at the forefront of scientific innovation.

Her relentless pursuit of knowledge, combined with her global research experiences and cutting-edge training, exemplifies the spirit of a dedicated and forward-thinking scientist.

Ana will continue sharing her learning journey as she progresses. In the meantime, she welcomes feedback and collaboration opportunities. Don't hesitate to contact her on LinkedIn or request an introduction through us.

About Molecular AI Specialization:

Our Molecular AI Specialization is a tailored curriculum designed to empower individuals with the expertise to leverage machine learning and artificial intelligence in small-molecule drug discovery. This specialization bridges the gap between conventional pharmaceutical research and cutting-edge computational drug design.

Interested in joining our Molecular AI Specialization like Stefani? Contact us for personalized counseling. Initiate an online chat or contact us at support[a]neovarsity.org.

Explore the experiences of learners who have embarked on the Molecular AI Specialization journey at Neovarsity. Read here.