Aug 2023 – Present · 2 yrs 10 mos · Vienna, Austria · On-site

• Center for Medical Data Science - Institute of Artificial Intelligence - Bock Group

Aug 2023 – Present · 2 yrs 10 mos · Vienna, Austria

• Pursuing a PhD in ML applied to Biomedicine
• Primary supervisor: Prof. Christoph Bock (CeMM & Medical University of Vienna)
• Co-supervisor: Prof. Erik Bekkers (University of Amsterdam)

Aug 2022 – May 2023 · 9 mos

• Title: A deep learning approach to predict drug-target interactions for kinase inhibitors
• Supervisor: Prof. Riddhiman Dhar (IIT Kharagpur) & Dr Matthew The (TU Munich)
• Identified several kinases as drug targets for cancer treatment and prepared a drug-protein interaction database
• Deploying graph-based methods to extract drug features and sequence-based approaches to extract protein features
• Developing a deep learning method to predict drug-protein interaction using multi-head attention mechanism

Jul 2022 – Aug 2022 · 1 mo · Lausanne, Vaud, Switzerland

• Deciphering protein-protein interactions to build a computational vaccine construct using machine learning.

May 2022 – Jun 2022 · 1 mo · Bengaluru, Karnataka, India

• To develop the quantitative research pipeline and predict future trade movements using machine learning.

Jun 2021 – Jul 2021 · 1 mo · Tokyo, Tokyo, Japan

• Among the 15 students selected worldwide for the University of Tokyo Summer Internship Program Online Intensive (UTSIP Kashiwa).
• Performed research under the guidance of Prof. Martin Frith, Department of Computational Biology and Medical Sciences, GSFS, UTokyo (Kashiwa Campus).
• My project revolved around understanding, analyzing and comparing sparse-seeding algorithms such as Minimizers, Syncmers and Minimally overlapping words.

Apr 2021 – May 2023 · 2 yrs 1 mo

• Governing a team of 50+ heads, student members, and associates addressing prominent issues related to students of IIT Kharagpur
• Supervised several student welfare initiatives like the Student Mentorship Programme, Foresight etc., involving more than 10,000 students

Oct 2020 – Apr 2021 · 6 mos

• A Student Body working under Gymkhana, IIT Kharagpur
• Administered Student Mentor Programme 2020-21 covering about 1800 UG freshmen
• Managed an online portal actively used by 2000+ students facilitating them academically
• Leading a team of 30 student members and 35 Associates addressing prominent student-related issues

Jan 2020 – Sep 2020 · 8 mos

• Conducted Student Mentor-Mentee Meeting program, Examania, and Foresight
• Conducted Campus tour which saw a participation of 1400+ freshers
• Lead a team of 32 Associates conducting activities for the welfare of students in the campus of IIT Kharagpur

Mar 2019 – Dec 2019 · 9 mos

• A Student Body under The Office of Dean of Students’ Affairs. Conducts Student Mentor-Mentee Meeting programme, Placement Drive, Examania, Placement Talk, Bhamini & Programming and Data Structures Doubt Sessions, Virtual Mentor-Mentee Meeting, Early Mentor Selection. Also conducted python workshop for 1st and 2nd-year students and KGP Blood Connect (KBC) programme in respective Halls.

Apr 2021 – May 2022 · 1 yr 1 mo · Singapore

• To build the AI and analytics pipelines of Neurobit for predictive health and personalized medicine
• Assisted researchers from Columbia University and NUS in evaluating the performance of AI models built by Neurobit
• Designed and deployed a 34-layer Convolutional Neural Network to predict Arrhythmia events from physiological data
• Developed a scalable recommendation system to generate a personalized health report using physiological sleep data

Apr 2021 – Apr 2022 · 1 yr · Kharagpur, West Bengal, India

• Title: To discover potential drug inhibitors against Glioblastoma using in silico and in vitro study (Bachelor’s Thesis)
• Supervisor: Prof. Mahitosh Mandal (School of Medical Science) & Prof. Pralay Mitra (Department of Computer Science)
• Virtually screened approved drugs inhibiting Glioblastoma progression using molecular docking and MD simulations
• Validated the top hits in vitro, using cell proliferation MTT assay and western blotting on cultured glioma cell lines

Mar 2021 – May 2023 · 2 yrs 2 mos

• Title: Discovering potential drugs for inhibiting the interaction of hACE2 receptor and spike protein across multiple SARS-CoV-2 variants of concern
• Supervisor: Prof. Riddhiman Dhar (Department of Biotechnology)
• Developed a computational method to screen drugs against protein targets across several variants of a pathogen
• Automated the MD simulation pipeline and discovered two effective drugs by simulating drug-protein complexes
• Presented research in the 9th IWBBIO Conference 2022, Spain on computationally discovering drugs against SARS-CoV-2 and its variants

Jul 2020 – Dec 2020 · 5 mos · Bengaluru, Karnataka, India

• Worked on three projects during the internship at SharmaG_omics lab.
• Project 1: To understand phage-host interaction among tailed phages. | Supervisor: Dr. Gaurav Sharma
• Project 2: To develop a tool to analyze general genomic features for a given sequence. | Supervisor: Dr. Gaurav Sharma
• Project 3: Written a book chapter titled “Computational approach for Vaccine Designing” for the book “Bioinformatics: Methods and Application” (Elsevier) | Supervisor: Dr. Gaurav Sharma.

Sep 2019 – Feb 2020 · 5 mos

• Generated INR 3.55 Million through Sponsorship from 34 companies (200% YOY Increase) for the 54th edition of Inter IIT Sports Meet
• Organized 548 sporting events, 2 Pronites and 2 Guest lectures which saw a participation of 3000+ students and coaches from all the 23 IITs.
• Part of a team of 12 Core Team Members responsible for catering the branding & publicity requirements of all the 34 companies during the 54th Inter IIT Sports Meet

Oct 2018 – Apr 2019 · 6 mos · Kharagpur I, India

• As an Associate Member, I assisted the team working primarily on three fronts: Networking, Corporate Media Bannering, and Event Management with an objective to keep the alumni connected to their Alma Mater and to keep them updated about the latest happenings in the Institute. We organized the 16th Annual Alumni Meet to reconnect the alumni.