Naina Goel

– Curriculum & Course Design # – Developed a comprehensive syllabus integrating Modern Biology, Bioinformatics, AI, and ML, tailored for graduate students. – Interactive Teaching & Research-Oriented Approach - Conducted engaging lectures, debates, and one-on-one discussions, encouraging students to analyze and interpret research papers and case studies. – Hands-on Learning & Practical Applications # – Designed hands-on workshops covering: Bioinformatics tools & databases for genomics and proteomics. AI & ML for bioinformatics, applied in genomic sequencing, drug discovery, personalised medicine and biomarker identification. Nextflow & Snakemake pipelines for scalable AI workflows in bioinformatics. – Assignment & Project-Based Learning - Created practical assignments focusing on real-world biological problems, integrating AI-driven analysis. – Evaluation & Assessment # – Assessed students using a structured rubric, emphasizing their ability to apply theoretical knowledge to biological data interpretation. – Capstone & Research Projects Mentored students in developing cutting-edge projects, such as: AI-driven genomic variant interpretation Predicting protein-protein interactions using deep learning models Multi-omics data integration for disease classification & biomarker discovery

AI & ML Solutions for Healthcare & Finance – Developed AI models for predictive analytics, improving disease risk forecasting in healthcare and credit risk assessment in finance. – Designed LLM-powered NLP models (ChatGPT, LLAMA) for clinical text mining, fraud detection, and financial document analysis. – Built federated learning models for privacy-preserving AI, ensuring secure data sharing across hospitals & financial institutions. Data Science & Risk Modeling – Applied deep learning for healthcare imaging (MRI, CT) & financial anomaly detection, reducing false positives in medical diagnostics & fraud detection. – Developed multi-omics AI for biomarker discovery & drug repurposing, while leveraging graph-based ML for financial risk assessment. – Led automated AI pipelines for EHR processing in hospitals and real-time fraud detection in banking, improving data retrieval efficiency by 40%. Business Intelligence & Decision-Making – Created real-time AI dashboards using Tableau, Power BI, and SQL, delivering actionable insights for healthcare & finance executives. – Optimized large-scale data pipelines (Hadoop, GCP, Spark) for clinical research & financial trading models, boosting processing speeds by 35%. – Designed ML-driven customer segmentation models, enabling personalized healthcare recommendations and tailored financial investment strategies.

– As the Co-Founder of L4S, I am dedicated to leveraging education to drive sustainable development. Our mission aligns with the 2030 Agenda for Sustainable Development, empowering communities and fostering global partnerships to tackle poverty, healthcare, education, equity, economic growth, and environmental challenges like climate action and conservation. Key Initiatives & Impact: – Empowering Change Agents – Designed care-centered programs that prioritize educators, artists, and cultural leaders as drivers of social impact. – Global Learning & Workshops – Managed the 2024 workshop calendar, ensuring multilingual accessibility & inclusive learning experiences. – Cross-Continental Collaboration - Partnered with leaders from 25+ countries, building a diverse and engaged sustainability network. – Teacher Training for Impact – Led workshops at Siddharth International School, Delhi, strengthening teamwork, critical thinking, and community learning. – Equitable Education Advocacy – Active CRI4ALL Club member (LPI, Paris), championing learning tools for underrepresented communities. Join us in creating a more just, sustainable world! Learn more at Believe L4S

– Working on real-world public policy challenges as a GGI Impact Fellow, contributing to policy research and strategic insights. Developing skills in governance, stakeholder engagement, and evidence-based policy formulation. – Selected among the top 5% of 15,000+ applicants for a prestigious 6-month global program designed to upskill individuals in areas such as policy consulting, management consulting, and impact investing through hands-on engagement with industry experts and practitioners.

– At KULAK Kortrijk, I led bioinformatics and data science research focused on the gut microbiome-host interaction in Daphnia magna, investigating how environmental stressors shape host adaptation. My work combined multi-omics analysis, AI-driven computational biology, and machine learning to uncover key biological insights. Key Responsibilities & Achievements: Microbiome & Host Adaptation Research – Led a study on gut microbiome dynamics, analyzing how diet and environmental stressors influence host DNA methylation and adaptation. – Conducted a multi-omics comparative study, integrating amplicon sequencing, genome assembly, pathway analysis, and transcriptomics to explore toxin-induced changes. Computational Biology & AI-Driven Data Science – Applied statistical modeling (RStudio) & machine learning (Python) to analyze large-scale genomic datasets. – Developed MATLAB-based models simulating gene expression responses to environmental stress. – Conducted flux balance and metabolic flux analysis to study metabolic pathways in host adaptation. Data Visualization & Decision Support – Designed interactive dashboards (Tableau, Power BI) to simplify complex genomic data for research teams and stakeholders. – Performed genome sequence analysis, including comparative genomics, gene alignment, and function annotation. Global Research & Mentorship – Collaborated with international research teams to identify microbes influencing host adaptation, using computational biology for predictive modeling. – Presented research findings at scientific conferences, translating bioinformatics insights into real-world applications. – Mentored 3 Master's students and conducted practical RStudio training for undergraduate and high school students. Bridging Bioinformatics, AI, and Environmental Genomics to Drive Scientific Discovery!

– Being active in the iGEM Policy Committee means that I work hard to build bridges between researchers in synthetic biology and people who make decisions. I would like to encourage effective communication, make detailed policy models, and include iGEM alumni and current members involved in iGEM policy-based projects. I aim to progress the field of synthetic biology so that it develops responsibly and innovatively. 1) Facilitated Dialogue: Promoted communication between synthetic biology researchers and policymakers to enhance understanding and influence science policy. 2) Developed Policy Frameworks: Contributed to the creation of white papers outlining objectives and projects for the 2020 iGEM season, impacting global synthetic biology policy. 3) Engaged Alumni: Connected iGEM alumni with policy opportunities, fostering a network of well-equipped advisors and advocates for synthetic biology. 4) Hosted Educational Events: Organized webinars, hackathons and workshops on synthetic biology regulations, engaging policymakers, scientists, and enthusiasts in meaningful discussions. 5) Built Alliances: Established partnerships with regional and international entities to support the development and implementation of synthetic biology policies globally.

– The project establish a robust analytical method for the integration of transcriptional data sets generated in diverse clinical studies. – The analysis of the data sets (TB infection (pre/post treatment), with early onset type 1 diabetes (T1D), and juvenile idiopathic arthritis (JIA) (pre/post treatment). – In addition to the 1,000 healthy donors of the Milieu Interieur consortium) allow for the cross-comparison of healthy donors from different geographical settings, and the comparison of induced immune responses between infection and autoimmunity.

– As a Student Representative during my master's program, I was elected by my peers to serve as the voice of our class. In this role, I actively participated in board meetings, advocating for students' interests and contributing to the evaluation and development of our academic program. My responsibilities included liaising between students and faculty to facilitate communication, proposing and implementing changes to enhance our educational experience, and ensuring that the perspectives of both male and female students were equally represented and addressed. This position allowed me to develop strong leadership, negotiation, and advocacy skills.

– Stress is one of the key role player leading to arousal, valence and engagement of the person. In the project we are measuring the stress within the iGEM teams during the important final deadline of their project, the wiki freeze. – For that purpose, we will record the level of stress using a mobile application that measures heart rate with the smartphone camera, without the need for external pulsometers. – This app asks the user to press the smartphone camera lens gently with their finger and, after some seconds, a reading is shown. Then integration of this data with stress hormones level and their engagement, commitment, integration in the team. – In this way we are using a holistic approach to understand team behaviours and the most smart way to tackle the stress.

– iGEM Paris Bettencourt Foundation 2018: Antibiotic overuse in livestock industry is one of the major drivers to the antibiotic resistance evolution; motivating calls to reduce, replace, and re-think the antibiotic usage in animals. – Antimicrobial peptides (AMPs) are a promising alternative to conventional antibiotics. – Recently, a class of chemically-synthesized, star-shaped AMPs has been shown to exhibit broad-spectrum antimicrobial activity while maintaining biocompatibility with mammalian cells. – In this project, we combinatorially fused a set of known AMPs to structurally diverse, self-assembling protein cores to produce star-shaped complexes. – Over 200 fusions were designed and expressed in a cell-free system, then screened for activity, biocompatibility, and membrane selectivity. – In addition, we selected 4 AMPs for rational mutagenesis (~12000 variants), and a subset of fusions for molecular dynamic modeling, to identify features of surface charge and star geometry that impact AMP performance. – Overall, we aim to create a novel class of selective, non-toxic AMPs which are biologically-produced.

– The group developed an E. coli strain that allows the growth rate to be switched on and off externally by adjusting the availability of RNA polymerase, a major component of the gene expression machinery. – It was shown that by arresting the expression of RNA polymerase resources are shuttled away from protein synthesis (growth) to the production of a metabolite of interest (glycerol). – This proof-of-principle has been extended from the microliter to the liter scale, in collaboration with a biotechnology company, and we have acquired metabolomics, transcriptomics, and proteomics datasets to characterize the physiology of both growing and growth-arrested, glycerol-producing cells. – My project was focused on the integration of these datasets using a combination of statistical techniques and a genome-scale flux balance models of E. coli metabolism, in order to study the reorientation of fluxes from growth to glycerol production on the molecular level and the possible occurrence of stress responses. – The conclusions drawn from this study lead to further validation experiments with the growth switch. Moreoever, the improvement of some aspects of the system, such as its genetic stability or the induction mechanism, were also explored during the internship time.

– As an Undergraduate Fellow, I completed a rigorous 15-day training program in X-Ray Crystallography at the National Institute of Immunology, New Delhi, under the mentorship of Dr. B.K. Biswal. This immersive experience provided hands-on training in crystallographic techniques, data analysis, and structure determination, enhancing my skills and understanding in the field.

– Detection and Quantification of Sialic Acid in Various Plant Tissues, Supervised by Professor P. Chitralekha – As an undergraduate research student, I conducted a small summer project under the guidance of Professor P. Chitralekha. – The project aimed to investigate the presence of sialic acid and quantify its levels in different plant tissues. – Through hands-on laboratory work and data analysis, I gained valuable experience in experimental techniques, sample preparation, and biochemical analysis. – This project provided me with a deeper understanding of plant biochemistry and research methodology, laying a foundation for my future academic and professional pursuits.

– As an Undergraduate Research Fellow at Delhi University, I was privileged to work under the esteemed guidance of Dr. Anita Rani, Dr. Manish Kumar, and Dr. Nellie Laisram on a pioneering project that focused on the Screening of Local Anaesthetics for Antifungal and Antibacterial Activities. – My primary responsibilities included conducting Minimum Inhibitory Concentration assays to evaluate the efficacy of local anaesthetics against clinical bacterial and fungal strains. – This position allowed me to contribute to significant research aimed at enhancing our understanding of potential therapeutic applications of local anaesthetics in combating microbial infections.