India

Dr. Akash is a highly accomplished physician with a strong academic foundation, having completed his MBBS from the All India Institute of Medical Sciences (AIIMS) and his MD in General Medicine from the prestigious Jawaharlal Institute of Postgraduate Medical Education & Research (JIPMER). These premier institutions reflect his competitive background and drive for excellence. With four years of clinical experience, Dr. Akash has developed expertise in critical care, disease prevention, and multidisciplinary collaboration, working efficiently in high-pressure environments such as ICUs and emergency services. His experience during the COVID-19 pandemic and in various critical care settings has solidified his ability to lead medical teams, manage complex cases, and deliver patient-centered care. 

Beyond his clinical skills, Dr. Akash is deeply passionate about the evolving role of healthcare technology and artificial intelligence in the medical field. He is eager to be at the forefront of this revolution, leveraging these advancements to enhance patient care on a wider scale. His vision is to contribute to innovations that make healthcare more efficient and accessible, ultimately improving outcomes for a broad patient population. With his strong leadership, communication skills, and commitment to staying at the cutting edge of medical practice, Dr. Akash is well positioned to make a significant impact in the health tech sector. 

Dr. Raju holds a medical degree from Government Medical College, Calicut, followed by a Post-Graduate degree in Management from the Tata Institute of Social Sciences (TISS), Mumbai. He began his corporate career in the medical and pharmaceutical sectors, working as a Pharmaceutical Physician for globally recognized Fortune 500 companies like Pfizer, AstraZeneca, Wockhardt, and Menarini. Throughout his tenure, Dr. Raju contributed to various areas, including Medico Marketing, Strategy, and Innovation. He was part of the teams that successfully launched over 50 pharmaceutical products across the Asia Pacific market, including the launch of Forxiga, India's first SGLT2 inhibitor, which became a blockbuster drug within a year of its launch.

With a shift towards Digital Health, Dr. Raju became the Medical Lead for South Asia at Wolters Kluwer, a leading company in clinical decision support systems used by over 2 million doctors across 180 countries. In this role, he collaborated with hospitals and health systems across South Asia to manage the implementation of the advanced system, earning recognition from the CEO for his outstanding collaboration in the Asia-Pacific region.

Dr. Raju later took on the role of Director of Growth at Twin Health, a diabetes digital therapeutics company, where he drove growth strategies. His next move brought him to Dr. Reddy's Laboratories, an Indian multinational pharmaceutical company, where he led the Global Innovation Portfolio focused on Medical Devices and Digital Therapeutics, spearheading the development and launch of groundbreaking innovations to meet the evolving needs of the healthcare sector. Currently, Dr. Raju is consulting and leading the KGDC Project (Kerala Genome Data Centre) under the Kerala Development and Innovation Strategic Council (KDISC). This ₹500 crore government initiative aims to position Kerala as a leader in genomics and bioeconomy.

In addition to his corporate roles, Dr. Raju has authored numerous scientific publications and serves as a mentor and advisor to various startups and health tech investors. He has also been a speaker, moderator, and panelist at numerous scientific and technology conferences. As a Mentor for Femtech Labs in London and an Advisor for the EU-India Innocenter, he actively supports healthcare startups. At ThinkBio.Ai®, Dr. Raju leads enterprise sales for software solutions targeting Life Sciences, Pharma, and Hospitals.

Prior to ThinkBio, Aashind co-founded Saath Care, a consulting firm focused on genomics-driven digital health solutions for chronic illnesses such as oncology and autoimmune disorders. At SciGenom Labs, he further honed his expertise in healthcare innovation, developing the Kerala Genome Data Center and crafting investment strategies in genomics, biologics, and synthetic biology. His role also involved advising healthcare companies on expansion strategies. Earlier, Aashind gained invaluable experience at Areté Advisors—acquired by Bain & Company—where he guided prominent private equity and healthcare clients through market expansion, growth strategy, and due diligence.

Aashind holds a Bachelor’s degree in Chemistry from St. Xavier’s College, Mumbai. Outside of his professional pursuits, he is an avid reader with a keen interest in the intersections of technology, biology, and wellness. Recognised for his contributions to science and education, Aashind remains committed to advancing knowledge and fostering innovation in healthcare.  

Vidhi Malik is the Principal Computational Biologist at ThinkBio.Ai®, where she leads a team of innovative computational biologists in advancing AI-driven bioinformatics research. With a focus on harnessing cutting-edge technologies to analyze complex bioinformatics data, Vidhi’s work transforms data into actionable insights that fuel innovation in genomics and precision healthcare.

Vidhi holds a PhD from IIT Delhi, where her research on molecular targets for cancer therapeutics led to critical advancements in precision oncology, including the development of machine learning models for predicting patient outcomes. As a Postdoctoral Fellow at Brigham and Women’s Hospital and Harvard Medical School, she has conducted pioneering research on Chronic Obstructive Pulmonary Disease (COPD), focusing on the functional genomic responses of lung cells to genetic mutations.

At ThinkBio.Ai®, Vidhi leverages her expertise in SNP-to-Gene mapping, multi-omics integration, single-cell sequencing, molecular modeling, and machine learning, positioning ThinkBio.Ai® at the forefront of bioinformatics and personalized medicine. Her leadership fosters a collaborative environment that pushes the boundaries of computational biology, enabling the transformation of complex bioinformatics data into actionable insights and helping ThinkBio.Ai® deliver meaningful advancements in bioinformatics and patient care.

Dr. Vrinda Venu is a senior computational biologist at ThinkBio.Ai®, where she leads efforts to develop AI-powered pipelines that extract biological insights from genomic, transcriptomic, and epigenomic datasets bridging the gap between fundamental research and real-world applications.

Dr. Vrinda began her research journey during her integrated BS-MS program in Biology at IISER Thiruvananthapuram. She was a recipient of the prestigious KVPY fellowship awarded by the Department of Science and Technology, Govt. of India (2009 - 2014) and this recognition enabled her to pursue research internships at leading research institutions in India including JNCASR Bangalore, and RGCB Thiruvanathapuram. She conducted her PhD research at the Friedrich Miescher Laboratory of the Max Planck Society in Germany through the international PhD program in Tuebingen. Her doctoral research explored the role of meiotic recombination on adaptive divergence and speciation offering key evolutionary genomics insights into this complex mechanism. As a postdoctoral researcher at Los Alamos National Lab in the United States, Dr. Vrinda worked at the forefront of 4D genomics, investigating dynamic three-dimensional genomic changes in response to viral infections and therapeutic interventions.

At ThinkBio.Ai®, Dr. Vrinda's expertise in evolutionary genomics, epigenomics, and 4D genomics drives the development of innovative solutions that advance clinical research and precision medicine.

Shahina is a computational biologist with a strong educational background, holding a Ph.D. in Computational Biology and Bioinformatics from the University of Kerala, along with a Master's and Bachelor's degree in related fields. As part of her PhD program she developed different deep learning models to classify genome sequences of different organisms from their chaos game representation (CGR) images and also studied the effect of different generative adversarial networks and data augmentation techniques on CGR images of biosequences.

With over 7 years of work experience, her expertise lies in Next Generation Sequencing data analysis, machine learning, and deep learning. Professionally, she has held various roles, including Bioinformatician, Bioinformatics Intern at Khalifa University, IT Instructor, and Support Engineer.

She holds certifications in Genomic Variant Analysis & Clinical Interpretation, NIH Clinical Research Training,  ITIL Foundation, Oracle Certified Associate and Microsoft Certified Professional.  Her unique blend of research and industry experience makes her a valuable asset to organizations in bioinformatics, computational biology, and data analytics.

Currently, Dr. Shahina serves as a Computational Biologist at ThinkBio.Ai®, where she works on projects that harness computational techniques to address pressing biological questions.

Dr. Sana Munquad is a computational biologist at ThinkBio.Ai®, where she leverages advanced machine learning and artificial intelligence (AI) techniques to analyze genomic data, advancing the field of personalized medicine. Her work focuses on developing AI-driven models to identify critical biomarkers for predicting drug response, thereby tailoring therapeutic strategies to individual patient profiles.

Dr. Munquad’s academic journey began with a BTech in Biotechnology from Integral University, Lucknow, in 2012, followed by an MTech in Bioinformatics from Maulana Azad National Institute of Technology, Bhopal, in 2015. Awarded the prestigious GATE PhD grant, she completed her PhD in Bioinformatics in 2024 at the National Institute of Technology, Warangal. Her research expertise spans genomic data mining, machine learning model development, and drug target and response prediction.

As high-throughput omics technologies produce vast data, Dr. Munquad’s team at ThinkBio.Ai® focuses on developing computational methods to extract valuable insights, helping to decode complex molecular mechanisms and disease biology. In cancer personalized medicine, her work aims to identify specific biomarkers that predict therapeutic responses, addressing a central challenge in personalized oncology. Through these efforts, Dr. Munquad is at the forefront of using AI to unlock the potential of precision medicine, ultimately aiming to improve patient outcomes with targeted treatment approaches.

As a Scientist in R&D Healthcare and Bioinformatics at ThinkBio.Ai®, Chinju John brings expertise in computational biology and artificial intelligence to advance healthcare solutions. She has a Master's in Computational Biology and a B.Tech in Computer Science and Engineering. With over 9 years of combined experience in academia and industry, Chinju actively contributes to scientific advancement through her work as both an author and reviewer for international journals and conference publications. Her research Interests include Bioinformatics, Deep Learning & Explainable AI.

Chinju’s unique combination of computer science expertise and biological knowledge positions her at the forefront of healthcare innovation at ThinkBio.Ai®, where she applies advanced computational methods to solve complex biological challenges.

Anupa Sunny is an R&D Scientist at ThinkBio.Ai®, advancing innovation in single-cell transcriptomics through the development and benchmarking of both foundation models and task-specific models for complex biomedical challenges. With a career spanning computational complexity, formal verification, machine learning, and applied labor economics, Anupa thrives on tackling diverse, interdisciplinary problems and turning ambitious ideas into actionable solutions.

She earned a PhD in Computer Science from the Université Paris Cité, specializing in computational complexity theory, focusing on the interplay between randomness and quantum entanglement. She did her M.Sc. in Computer Science from the Chennai Mathematical Institute and B.Tech in Electrical and Electronics Engineering from the Govt. Model Engineering College, Thrikkakara.

Before joining ThinkBio.Ai®, Anupa conducted postdoctoral research at the Indian Statistical Institute, Kolkata, applying machine learning to formal verification, and worked at the Asian Development Research Institute, Patna, applying AI to labor economics. By blending deep theoretical expertise with a readiness to embrace new challenges, Anupa helps position ThinkBio.Ai® at the forefront of precision medicine innovation.

Manoj Krishnan (Kris Manoj) has built a career focused on business innovation and strategic development across multiple sectors. His professional work has primarily centered on creating and scaling business solutions in technology, sustainability, and entrepreneurial ecosystems.

Most recently, at BillionLives Business Initiatives, a social impact startup, he led New Business Initiatives, driving its transformation into an ESG Tech company. He was a founder of Greenturn Idea Factory, a hardware tech startup, where he managed the business and operational aspects. The company was selected for accelerator programs by Facebook India and Dubai Smart City, and received recognition from various organizations including JLL.

His consulting work has spanned multiple domains. At Nuivio Ventures, he worked on identifying innovative business solutions, and at Microsoft Accelerator, he managed a program supporting large startups with an average ARR of $1 million. Recently, he was working with NIC Mauritius, developing a microfinance market entry strategy for the firm that involves designing innovative products, mapping process workflows, and coordinating technology implementation.

Throughout his career, Manoj has demonstrated capabilities in startup ecosystem development, corporate innovation, strategic consulting, and technology-driven business solutions. His work has consistently focused on bridging technological innovation with practical business strategies. Manoj holds an MBA degree from University of Oxford and an engineering degree from College of Engineering, Trivandrum.

Dr.Arun combines nearly two decades of experience in Medical communication, public relations and marketing where he was involved in shaping brand reputation, narrative design, engagement cultivation on digital and traditional channels.

Having trained as a pharmaceutical scientist and later as a communications strategist, Dr.Arun has worked on global brand campaigns alongside clinical research operations and healthcare IT programs consistently delivering measurable return on investment for the clients.

He obtained his PhD from Annamalai University in Pharmaceutical Sciences an MBA with specialization in Marketing and Systems Management and a Master’s degree in Pharmacy Practice from Rajiv Gandhi University where he graduated top of the university.

At ThinkBio.Ai, Dr.Arun integrates science, storytelling, and strategy to advance the company’s mission and voice in the biopharma and healthtech ecosystem.

As a Biomedical Scientist at ThinkBio.Ai®, Mohan brings expertise in experimental cancer research and experience in bioinformatics to help with developing AI tools to advance healthcare. He holds a PhD from Rajiv Gandhi Centre for Biotechnology and has done postdoctoral research at Cedars-Sinai Medical Center and The University of Oklahoma Health Science Center.

At the company, Mohan ensures biological relevance and scientific rigor in AI tool-development pipeline, identifies impactful biomedical use cases, evaluates the reliability and appropriateness of the AI tools for preclinical and clinical research applications. He helps in the development of scientific framework that helps AI-engineering teams in building tools to meet real world translational research needs. In addition, he contributes to business growth by identifying potential clients and strategic opportunities where the company’s tools can deliver more value.

Mohan has authored multiple peer-reviewed publications and actively contributes to the scientific community as a reviewer for international journals. With a blend of experimental and computational insights, he is committed to accelerating biomedical innovation through interdisciplinary collaboration.

Baiju Sankaran is a seasoned professional with deep expertise in Product Engineering and Digital Transformation service delivery. With a career marked by strategic foresight and operational leadership, he has consistently driven success across a broad spectrum of global engagements. In his previous leadership role, Baiju was instrumental in formulating and executing high-impact initiatives for both Product and Enterprise clients, managing cross-functional and geographically distributed delivery teams to ensure excellence in execution and client satisfaction.

A key contributor to organizational growth, Baiju played a pivotal role in establishing and scaling verticals such as Healthcare and Education. His efforts in building robust technical and functional capabilities within these domains have positioned his teams as trusted partners to clients. Additionally, his close collaboration with sales and marketing functions significantly accelerated business development, enhancing the organization’s market presence. Baiju is also known for his ability to nurture long-term client relationships, consistently delivering value through innovation and a strong commitment to client success.

As an experienced Healthcare IT professional with more than 25 years in the domain, including a decade in the US Healthcare ITES sector and 15 years focusing on US healthcare products and services, Unnikrishnan’s expertise covers a wide range of areas, including Electronic Medical Records (EMRs), Laboratory Information Systems (LIS), Revenue Cycle Management (RCM), Radiology, and Homecare management applications.

He is an experienced professional with expertise in project and program management, account management, product support, and software implementation. Over the years, he has successfully led large-scale healthcare technology deployments, working closely with cross-functional teams to optimize workflows, improve service delivery, and ensure smooth technology adoption. His leadership has been pivotal in driving customer success, managing complex situations, and keeping teams focused on delivering results. With a bachelor's degree in economics and certifications in ITIL, Six Sigma Green Belt, and Certified Professional Coder (AAPC), along with training in Agile and PRINCE2 methodologies, Unnikrishnan combines strategic insight with practical execution. He is dedicated to developing scalable solutions that address healthcare challenges, improve operations, ensure compliance, and enhance patient care.

Pratheek holds a Master's in Biomedical Engineering (Neuroscience focus) from Duke University NC, USA and an MBA from IIM Ahmedabad, India.

He started his career at Neuroplus as the Product Owner for a EEG-based adaptive learning system for children with learning disabilities such as ADHD, where in addition to charting the product roadmap and strategy, he contributed to the firmware for a prototype device while authoring the code for the user application, data operations, and billing integrations.

Post his MBA, he worked as a marketplace PM at Microsoft, owning the Australian and Canadian markets (then ARR >$200M) and holding responsibility for financial and non-financial KPIs. He worked closely with teams in emerging AI and ML technologies such as BERT and RoBERTa, across the entire ad-auction stack such as selection, relevance, augmentation, etc.

He then joined Saath as the Head of Product, where he helped build and deliver an online companion platform for patients suffering from chronic diseases such as breast cancer and autoimmune diseases. He owned the product roadmap and strategy, as well as tactical implementation steps such as conducting user interviews, developing the UI/UX flows, and writing the feature specifications. 

Most recently, he served a Product and Growth role with Simplismart, an Accel-backed AI infrastructure startup that has developed the fastest inferencing engine globally on NVIDIA chips. His role there was to engineer AI and MLOps solutions for large corporate clients while nurturing the sales pipeline and aiding in developing the long-term product roadmap.

Dr. Kamalika is an accomplished research scientist managing the Data Translation Team at ThinkBio.Ai. During her PhD (Biotechnology) from Saha Institute of Nuclear Physics (DAE), she investigated molecular basis of the rare neurodegenerative disorder, Huntington’s disease using advanced cell biology and proteomics techniques. Her groundbreaking research established enhancing autophagy clearance pathways towards facilitating removal of the toxic mutant Huntingtin protein aggregates, offering a novel therapeutic strategy to mitigate disease.

She pursued postdoctoral research at the Centre for Neuroscience, Indian Institute of Science (IISc), Bangalore, focusing on the molecular pathology of Alzheimer’s disease.
Kamalika then took on the role of Principal Investigator at CSIR-IICB, where she led a DST‑SERB–funded cardiovascular research initiative, collaborating with local hospitals and institutions across India. This effort produced high-impact translational findings with promising therapeutic implications.

In 2022, Dr. Roy Choudhury transitioned into industry, joining MagGenome Technologies Pvt. Ltd. as a scientist. There, she drove the development of iron‑nanoparticle‑based kits for biomedical applications.
Leveraging her deep expertise in experimental biology, she currently serves at ThinkBio.Ai, translating complex bioinformatics and machine learning outputs into biologically meaningful interpretations. Her expertise and efforts empower the company to deliver precision medicine advancements and personalized patient care.

Monisha Ashwin is a highly accomplished healthcare professional with over 14 years of experience spanning In Vitro Diagnostics (IVD), oncology, real-world data (RWD), and healthcare product development. With a strong academic foundation in Human Genetics and Oncology, her career has evolved through impactful roles in clinical diagnostics, bio-curation, and end-to-end product management. She has contributed to leading institutions such as the Centre for Human Genetics, Indian Institute of Science, Lilac Insights Pvt Ltd, and Velsera.

Throughout her career, Monisha has successfully led full product lifecycles in oncology data curation, fostering collaborations with clinicians, researchers, and data scientists. She has been instrumental in implementing robust root cause analysis (RCA) frameworks and upholding the highest standards of data quality and scientific accuracy.

In her current role as Product Manager at ThinkBio.AI®, Monisha brings a strategic, innovation-driven approach grounded in deep clinical and technical insight. Her user-centric mindset and cross-functional expertise enable her to drive the design, develop and commercialise impactful AI-powered healthcare solutions.

Monisha is deeply passionate about continuous learning and remains actively engaged with RWE platforms, AI technologies, and cutting-edge product innovation in healthcare.

Dr. Dhanyasree is a medical expert and Consultant Radiologist with extensive clinical experience and knowledge. She holds a strong academic background, having completed her MBBS at the prestigious All India Institute of Medical Sciences (AIIMS) and post-graduation in Radiology at Kovai Medical Centre and Hospital, Coimbatore.

Her stint at esteemed institutions such as Aster MIMS, Kannur instilled in her, a passion for leveraging technology to enhance healthcare outcomes. She seeks to combine her radiological expertise with technological innovations to drive transformative change in the healthcare landscape.

During her residency, she was actively exposed to AI-related conferences and advancements, fostering her interest in the intersection of medicine and artificial intelligence. This unique blend of medical expertise and AI awareness enables her to provide invaluable guidance and mentorship to the team, driving the development of innovative AI-powered healthcare solutions

Dr. Anagha is an Obstetrics and gynaecology resident with a strong foundation in basic medical sciences and a steadfast commitment to advancing women’s health. Her residency training spans the management of routine pregnancies, complex obstetric conditions, and exposure to acute emergencies in casualty and critical care settings. She has cultivated particular interests in maternal– Fetal medicine, reproductive endocrinology, and the integration of cutting-edge technology into clinical workflows to improve patient outcomes. Beyond her clinical role, Dr. Anagha is deeply engaged in research, medical education, and innovative approaches to healthcare delivery. With a blend of scientific rigor, analytical thinking, and adaptability, she aims to contribute to the future of obstetric practice by bridging the gap between evidence-based medicine and emerging technological solutions.

Dr. Gopinath is a physician and healthcare innovator dedicated to transforming patient care through evidence-based and patient-centric solutions. With expertise in lifestyle diseases, infectious diseases, complex diagnostics, and oncology, he integrates telemedicine, recent advances and scalable innovations to make high-quality healthcare more accessible. Driven by a vision to redefine healthcare delivery, Dr. Gopinath is committed to building impactful, inclusive, and future-ready medical solutions.

Dr Parvathy is a graduate of PDU Government Medical College Rajkot where she earned her MBBS following which she received MD in Pathology from BJ Medical College, Ahmedabad. With four years of experience in the field of pathology she brings a deep foundation in clinical expertise to the forefront of AI driven healthcare solutions.

At ThinkBio.Ai, Dr Parvathy helps in the integration of computational methods with pathology for development of innovative tools that enhance diagnostic accuracy, efficiency and scalability. She is passionate about bridging the gap between medical science and artificial intelligence to drive forward diagnosis, research and development that has real world impact in patient outcomes.

Samish Karunalayam is a Chartered Accountant with over 18 years of experience, primarily in the IT industry. He specializes in M&A, Financial Planning & Analysis, Auditing, Accounting & Controllership, Treasury Management, and Stakeholder Management.

Most recently, Samish served as the Head of Finance at Aspire Systems Digital (formerly RapidValue), part of the $200M global IT company Aspire Systems. In this role, he played a pivotal role in several key functions across the group, bringing deep expertise in strategic financial planning, business insight, and ensuring rigorous financial governance and operational controls. He was instrumental in facilitating the acquisition of RapidValue's digital transformation business by Aspire Systems. Before joining Aspire Systems, Samish held a managerial role at Sagitec Solutions, USA, where he oversaw the successful migration from legacy systems to Oracle NetSuite. He also gained valuable experience at Ernst & Young in Audit, Assurance, and Advisory services, further honing his expertise in financial reporting and compliance.

Dr. Unnikrishnan specializes in the development of therapeutic monoclonal antibodies and cell-based therapies at the intersection of immunotherapy and oncology. He currently serves as Principal Scientist and Head of Operations at the CVJ Centre for Synthetic Biology and Biomanufacturing at the Cochin University of Science & Technology.

Previously, he was part of the founding team at Alstonia Bio, a next-generation immunotherapeutics startup, now rebranded as SIMISCO Biologics-India. At Alstonia, he led the Cell & Genome Engineering Division and contributed the development of preclinical evaluation platforms for next generation engineered mAbs targeting multiple cancer indications.

Earlier, as Senior Research Scientist at Duke-NUS Medical School, Singapore, he led functional genomics–driven target discovery programs focused on T-cell immunotherapy, host-pathogen interactions, and fibrosis biology resulted in the identification of novel druggable targets and invention disclosures. At Duke-NUS Medical School, he has also contributed to the development of novel wound care devices and processes, which led to the co-founding of XFolio PTE LTD, a biomedical venture currently incubated at the National University of Singapore.

Currently he also serves as Consultant to ThinkBio.Ai® Inc, contributing to the development of AI-driven decision support systems for pharmaceutical R&D, and continues to hold an appointment as Adjunct Senior Researcher at Duke-NUS Medical School, Singapore.