Gradient Descent:
θ : = θ - α ∇θJ(θ)
Kohn-Sham equation:
(− ℏ2 / 2m  ∇2 + Vext(r) + VH(r) + Vxc[ρ(r)])  ψi(r) = Ei  ψi(r)
Loss Function:
L(w) = (1/2n)‖y−Xw‖22 + (λ/2)‖w‖22
Akash Shil

Akash Shil

Computational & Theoretical Chemistry -

About

Hi, I'm Akash Shil - a chemist specializing in computational and theoretical chemistry. My work blends DFT/TDDFT and machine learning to design molecules and predictive models for covalent drug reactivity.

Education
Research Summary

My MSc work at IIT Tirupati studied halogenation and π-conjugation effects on BODIPY dyes via DFT and TDDFT, yielding design insights for metal-free photocatalysts. My next step involves developing Δ-machine learning models for predicting covalent drug reactivity, leveraging quantum chemistry databases.

Selected Projects

BODIPY Molecular Structure
Tailored Ground and Excited-State Redox Potentials Through Halogenation and/or Extended π-Conjugation in BODIPY Dye: A Computational Perspective Ongoing

This computational study investigates the effects of halogenation and π-extended conjugation on the ground-state and excited-state redox potentials of meso-substituted BODIPY using density functional theory (DFT) and time-dependent DFT (TDDFT). Systematically, we examine the electronic structure, optical properties, and redox behaviour of ethynyl and non-ethynyl substituted BODIPYs with halogens (F, Cl, Br, I). Our results reveal that heavy halogenation stabilizes both singlet and triplet excited states and reduces their energy gaps, while π-extension via ethynyl group enhances charge transfer and improves the dyes' ability to accept electrons. These changes suggest large systematic shifts in the redox potentials and will provide an opportunity to systematically tune BODIPYs for unique performance in photoredox catalysis. Overall, this research provides insights to design new efficient metal-free photocatalysts with enhanced electronic properties, advancing sustainable energy and catalysis.

Machine Learning for Covalent Drug Discovery
Machine Learning for Covalent Drug Discovery Coming soon

Upcoming research at the University of Calgary integrating quantum-chemical databases with advanced machine learning architectures to predict covalent binding sites and molecular reactivity - paving the way for data-driven drug discovery.

Publications

“My research journey in computational and theoretical chemistry continues - upcoming publications will be shared here soon.”

Stay tuned for exciting updates!

Highlights & Achievements

A curated timeline of research experiences, academic milestones, and key moments.

Joining Prasad Research Group at University of Calgary
Joined the Prasad Research Group at UCalgary

5th January, 2026

Officially joined the Prasad Research Group (PRG) at the University of Calgary to begin my graduate research journey. (From left to right: Mr. Sumit, Mr. Saiyam, Dr. Viki, Mr. Ashwin, and me - Akash.)

Offer of admission - University of Calgary
Offer of Admission - University of Calgary

16th June, 2025

Received an offer of admission to the University of Calgary for the M.Sc. Chemistry (Thesis-based) program, Winter 2026 - thrilled to join the Prasad Research Group (PRG) under Dr. Viki Kumar Prasad.

MSc Degree - IIT Tirupati
MSc Chemistry Degree - IIT Tirupati

9th July, 2025

Official Master of Science (MSc) degree in Chemistry awarded in July 2025 by the Indian Institute of Technology Tirupati. Certificate verifies successful completion of the postgraduate program, as attested by institute authorities.

Final MSc defense
Final MSc Defense Presentation

14th May, 2025

Grateful to my supervisor, Dr. Arun K. Manna, and my research group for their constant guidance and encouragement during my defense and throughout this academic journey.

Research group photo
More Than Just a Research Group

12th May, 2025

Grateful to be part of the Materials Modelling and Simulation Group at IIT Tirupati, led by Dr. Arun K. Manna. A snapshot of our team - colleagues who became family in the lab. This photo captures a special moment with our team (from left to right): Lekshmi di, Annette di, Arun sir, me (Akash), and Devanand bhaiya.

Farewell moment
Farewell Moments

10th May, 2025

Farewell moments with my supervisor and labmates - deeply grateful for their mentorship, camaraderie, and the invaluable memories we created together during this remarkable journey.

Poster presentation
Department Poster Presentation

15th April, 2025

Presented my research on the computational modelling of BODIPY dyes - sharing insights and receiving valuable feedback from faculty and peers during the departmental poster presentation.

Gold medal - ICFAI University
Honoured with the Gold Medal - BSc Class of 2023

29th September, 2023

Grateful to have received the Gold Medal for highest academic excellence from The ICFAI University, Tripura. This achievement is not mine alone - I’m deeply thankful to my professors, batchmates, and family for their unwavering support.

Blog

View my Medium (all posts)

Contact

Open to collaboration in molecular modeling, electronic structure theory, and ML for covalent drug discovery.
Have a thought, collaboration idea, or just want to say hello? I’d love to hear from you.

“A goal without a plan is just a wish.”

- Antoine de Saint-Exupéry

“When the why is clear, the how is easy.”

- Jim Rohn

“where there is a will, there is a way.”

- George Herbert

Like electrons in motion, ideas keep evolving - revisit soon for new content.