Child & adolescent psychiatry
ASD, ADHD, specific learning disorders and the wider neurodevelopmental spectrum — assessment, family guidance and longitudinal care.
Dr. Gaurav Maggu — MD Psychiatry · Child & Adolescent Psychiatry, Jaipur
Evidence-based psychiatry, engineered for reach.
Two clinical AI products built from the ground up, an ICD-11 LLM fine-tuning programme — and a working clinic and classroom in child & adolescent psychiatry.
ML Specialization · Stanford & DeepLearning.AI
Solanki Award · Best Research 2024
Georgia Tech Create-X mentor
PI · ICD-11 LLM fine-tuning
JNUIMSRC Jaipur✳
Institute of Medical Sciences, BHU✳
VIMHANS · Dr NTR University✳
Beck Institute for CBT✳
Stanford · Coursera ML✳
DeepLearning.AI✳
Georgia Tech Create-X✳
Industrial Psychiatry Journal✳
Springer Nature✳
BioMed Central✳
0
Years across inpatient, outpatient & academic psychiatry
0
Indexed peer-reviewed publications
0
Citations
0
Authored book chapters
The work
Four things, built in parallel.
Two products taken from blank page to shipping, one research programme, and the clinical practice that keeps all three honest.
01
Product · built from scratch
ZenQuip & ZenDoc
A patient app and a clinician dashboard for adult mental health, live and shipping — 35 therapeutic arcs, 487 guided exercises, prescriptions syncing both ways.
See the system → 02 Product · built from scratchNurturiq / Observa
Neurodevelopmental care end to end: structured assessment becomes a clinician-approved OT, SI and ABA home programme, with a webcam-biomarker screening track in research.
See the system → 03 Research · LLM fine-tuningICD-11 LLM fine-tuning
I lead supervised fine-tuning of a base large language model on ICD-11 aligned clinical dialogue, across a multi-institutional collaboration.
See the system → 04 Clinical & academicTeaching & child psychiatry
Assistant Professor teaching psychiatry to undergraduates and postgraduates under CBME, and consultant child & adolescent psychiatrist running the Guidance Clinic.
See the practice →
Dr. Gaurav Maggu
Jaipur, Rajasthan · India
Profile
Clinician first. Academic by training. Builder by necessity.
Psychiatrist and academic with ten years spanning inpatient and outpatient care, undergraduate and postgraduate teaching, and high-impact research. Alongside the clinic I build clinically grounded AI systems for psychiatry: an ICD-11 aligned assessment engine, Nurturiq for neurodevelopmental assessment through to home therapy, and ZenQuip for structured adult mental-health programmes with live patient–clinician sync.
Principal Investigator for the ICD-11 LLM fine-tuning collaboration, and mentor on the Georgia Tech Create-X ASD technology programme. Recipient of the Solanki Award for Best Research (2024) from the Industrial Psychiatry Journal for work on AI-based suicide prevention.
- Post-Doctoral FellowshipChild & Adolescent Psychiatry — VIMHANS / Dr NTR University · 2020–21
- MD PsychiatryInstitute of Medical Sciences, BHU, Varanasi · 2016–19 · Class Valedictorian
- MBBSGovernment Medical College, Kota, Rajasthan · 2015
- ComputationalMachine Learning Specialization — Stanford University & DeepLearning.AI · 2024
- RegistrationsDelhi Medical Council 91003 · Rajasthan Medical Council 36336 and 29193
Focus areas
Where clinical depth meets computational method.
CBT & exposure-response prevention
Beck Institute-trained cognitive behavioural therapy; CBT + ERP for OCD, CBT for anxiety in children and adolescents, behaviour therapy and sensory integration liaison.
AI & machine learning in psychiatry
Deep learning for early risk detection, LLM fine-tuning on ICD-11 aligned clinical dialogue, and AI-generated care plans delivered in a family's native language.
Digital therapeutics & product
Clinical curriculum design for digital mental health: worksheets, CBT pathways, session templates and AI-assisted continuity between appointments.
De-addiction & tobacco cessation
Motivational care, nicotine replacement therapy, pharmacotherapy and counselling — leading a dedicated tobacco cessation clinic alongside ECT services.
Evidence synthesis & statistics
Systematic reviews and meta-analyses registered with PROSPERO; R, SPSS and JAMOVI; co-editor of a statistics textbook written for practising clinicians.
AI & machine learning
Formal computational training, taken deliberately.
Not a psychiatrist who reads about machine learning — a psychiatrist who completed the coursework, then applied it inside the clinic. Every credential below carries a public verification link.
Stanford University
DeepLearning.AI
Machine Learning Specialization
The three-course specialization taught by Andrew Ng: supervised learning (linear and logistic regression, neural networks, decision trees), unsupervised learning (clustering, anomaly detection), recommender systems and reinforcement learning.
- Supervised Machine Learning: Regression and Classification
- Advanced Learning Algorithms
- Unsupervised Learning, Recommenders, Reinforcement Learning
DeepLearning.AI
Deep Learning Specialization — courses 1–3
Andrew Ng's deep learning sequence: network architecture and back propagation, then the practical craft of tuning and regularising deep networks, then how to diagnose a machine learning project and decide what to work on next.
Where the training went
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Deep learning
Early detection of suicide risk
Deep learning approach to early identification of suicidal ideation — published in the Industrial Psychiatry Journal and awarded the Solanki Award for Best Research, 2024.
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LLM fine-tuning
ICD-11 aligned clinical dialogue
I lead supervised fine-tuning of a base large language model on ICD-11 aligned clinical dialogue, across a multi-institutional collaboration.
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Computer vision · audio
ASD screening from IR camera and microphone
Mentor on the Georgia Tech Create-X autism screening and behavioural therapy stack (USD 5,000 grant), spanning the sensing pipeline through to the parent-facing application.
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Applied NLP
Native-language care plans
AI-generated personalised home programmes for ASD, ADHD and SLD families, written in the family's own language — in routine departmental use at JNUIMSRC.
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Product
CBT-embedded clinical chatbot
A fully developed AI-powered adult chatbot with CBT structure embedded in its dialogue policy, built at ZenQuip and progressing along a regulatory clearance pathway.
Methods
- Supervised learning
- Unsupervised learning
- Neural networks
- Regularisation & optimisation
- Hyperparameter tuning
- Recommender systems
- Reinforcement learning
- LLM supervised fine-tuning
- Clinical NLP
- R · SPSS · JAMOVI
- Meta-analysis
Appointments
Three seats, one thesis.
Teaching hospital, specialist clinic and a mental-health company — each informing the other.
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Assistant Professor — Psychiatry
Apr 2022 — PresentJNU Institute of Medical Sciences & Research Centre, Jaipur
- UG and PG teaching under CBME; mentor to MBBS batches 2022 & 2023.
- In-charge — Child & Adolescent Guidance Clinic, Tobacco Cessation Clinic, and the Common Mental Health Disorders elective.
- NABH internal auditor; departmental care pathways and CBME lesson plans.
- Novel initiative — AI-generated personalised home plans in native language for ASD, ADHD and SLD families.
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Consultant Child & Adolescent Psychiatrist
Oct 2022 — PresentNeo Clinic, Jaipur
- ASD, ADHD and specific learning disorders across assessment and long-term follow-up.
- CBT + ERP delivery with occupational therapy and sensory integration coordination.
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CEO & Co-Founder
Jul 2021 — PresentZenquip India Pvt. Ltd., Gurugram
- End-to-end ownership of the clinical stack and AI roadmap for patient–clinician continuity.
- Clinical curriculum and AI-assisted features conceived and clinically validated under this remit.
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Earlier appointments
2016 — 2021Senior residency & fellowship
- Child Psychiatry Fellow — Indlas CGC, VIMHANS, Vijayawada (2020–21).
- Senior Resident, Psychiatry — DY Patil Medical College, Pune.
- Senior Resident, Psychiatry — PGI, YCM Hospital, Pune.
Systems
Clinically grounded AI for psychiatry, across the lifespan.
Three systems, one through-line: specification and clinical ownership first, language models as the interface — never the sole source of diagnostic or therapeutic truth.
01
In development
ICD-11 LLM fine-tuning
Principal Investigator · multi-institutional collaboration
I lead supervised fine-tuning of a base large language model on ICD-11 aligned clinical dialogue, across a multi-institutional collaboration.
02
Product & wireframes · screening track in R&D
Nurturiq / Observa
Clinical product & AI systems design · neurodevelopmental care
“OpenEvidence ends at the answer. Nurturiq begins at the answer.”
Families wait years between a first concern and a formal diagnosis. Clinics still lean on subjective questionnaires designed in the 1980s, and parents leave a screening visit without a usable home programme — so between-visit care collapses into PDFs and guesswork.
Nurturiq closes that loop: assess → plan → deliver → track → adapt. A structured developmental assessment across motor, communication, social, sensory and behavioural domains produces a developmental-quotient and skills-gap profile; the clinician approves a three-pillar week plan across occupational therapy, sensory integration and applied behaviour analysis; step-locked exercise arcs are delivered at home; adherence and mastery flow back, and plateau or regression raises a clinician alert.
Clinicians
Observa Clinic
Structured intake, Patient 360, AI-supported three-pillar plans, prescribe and approve arcs, mastery and plateau alerts.
Parents
Observa Care
Guided developmental assessment, skills-gap profile, prescribed home therapy on tablet, adherence check-ins on mobile.
Research
Observa Screen
Webcam-based gaze and behaviour biomarkers for autism-detection research. Protocol-first, not a consumer toy.
38,000+Indexed therapy-content chunks
3Pillars: OT · SI · ABA
5Assessment domains
Clinical ownership: a clinician approves and audits before any arc unlocks. The knowledge base is proprietary and CBT/MET/DBT-informed, with neurodevelopment-specific coaching.
Interface — clinician web, parent tablet, clinic screen
03
Live · patient and clinician apps shipping
ZenQuip & ZenDoc
Co-founder & clinical lead · adult mental health
Most mental health apps are wellness content without clinical structure, and traditional care is scarce. The missing middle layer is structured therapeutic programmes joined to provider workflow, with safety built in rather than bolted on.
ZenQuip is the patient app — mood tracker, thought journal, CBT modules, substance-use therapy modules and habit tracking. ZenDoc is the clinician dashboard, where medication and therapy-target prescriptions sit together, flow into the patient's agenda, and return progress, mood trends and engagement to the clinician. Prescriptions sync bidirectionally between the two.
35Therapeutic arcs
487Guided exercises
6Domains covered
Arcs span anxiety, mood, trauma, identity, behaviour and cognition. The next phase is Zennie — a conversational layer separating open chat from strict step-through exercise programmes, with guardrails, crisis detection, escalation and audit logging designed in from the start. It is in prototyping.
Registered IP: Exercise for Depression, a structured therapeutic workbook programme, and Zennie, the platform's therapeutic engagement character — both copyright-registered, principal creator of both.
Interface — patient app and ZenDoc provider dashboard
Research & grants
Projects currently on the bench.
ASD detection & behavioural therapy platform
Mentor to Raghavan Madabushi (Electrical Engineering) on an end-to-end autism screening and behavioural therapy stack — an infrared camera and microphone pipeline feeding a children's mental health application, on the Y Combinator track.
ICD-11 LLM fine-tuning — multi-institutional
I lead supervised fine-tuning of a base large language model on ICD-11 aligned clinical dialogue, run as a multi-institutional collaboration.
Hindi OBQ-44 / AAQ-7 validation
Translation and validation of obsessive-belief and psychological-flexibility scales for Hindi-speaking populations.
Registered meta-analyses
Juvenile offenders and adverse childhood experiences; psychiatric comorbidity in irritable bowel syndrome.
ICD-11 LLM fine-tuning
Supervised fine-tuning of a base large language model on ICD-11 aligned clinical dialogue. See the system ↓
Bibliography
Peer-reviewed publications.
First-author and highly cited entries listed first. Every entry links out — to its PubMed record, its DOI, or the publisher’s own page. 90+ citations across the record.
- 01Epidemic of depression and anxiety in child and adolescent population during COVID-19 pandemic: A systematic review and meta-analysis of prevalence
Indian Journal of Psychiatry · 2023;65(3):299–309
- 02Cannabis use and its relationship with bipolar disorder: A systematic review and meta-analysis
Industrial Psychiatry Journal · 2023;32(2):202–214
18 citationsPMID 38161465 - 03Effect of COVID-19 and sociocultural milieu on the psychopathology of mental health disorders: A hospital-based study
Industrial Psychiatry Journal · 2021;30(Suppl 1):S29–S34
PMID 34908661WHO COVID-19 database - 04COVID-19 moral dilemmas viewed through Eastern and Western philosophy
Industrial Psychiatry Journal · 2021;30(Suppl 1):S273–S276
- 05Translation and validation of the Hindi version of the HEXACO Personality Inventory-Revised
Industrial Psychiatry Journal · 2024;33(Suppl 1):S114–S120
- 06Learning points from a study on cyberchondria
Indian Journal of Psychiatry · 2024;66(6):586–587
- 07Behavioral presentations of focal onset seizures: A case series
Industrial Psychiatry Journal · 2021;30(Suppl 1):S204–S209
- 08
Co-morbid psychiatric disorders in patients with irritable bowel syndrome attending Gastroenterology and Psychiatry OPD in a tertiary centre
International Research Journal of Pharmacy and Medical Sciences · 2020;3(3):1–5
No DOI registered by the journal
- 09
Alternative therapies of neuropsychiatric disorders
IP International Journal of Comprehensive and Advanced Pharmacology · 2017;2(4):107–114
No DOI registered by the journal
- 10Baclofen for reduction of craving and anxiety/depression in alcohol dependence syndrome: A preliminary investigation
International Education and Research Journal · 2020;6(3)
- 11A rare case report of moving ear syndrome
Journal of Case Reports and Scientific Images · 2023 Jul;5(2):11–13
- 12Artificial intelligence in suicide prevention: Utilizing deep learning approach for early detection
Industrial Psychiatry Journal · 2024;33(2):226–233
Solanki Award · Best ResearchPMID 39898082 - 13Effects of electrode placement on symptoms, memory, and sustainment of results after electroconvulsive therapy — A comparative study
Industrial Psychiatry Journal · 2025;34(1):67–75
- 14Comments on “The Efficacy and Durability of Mindfulness-based Cognitive Therapy in the Treatment of Anxiety and Depressive Disorders: A Systematic Review and Meta-analysis”
Indian Journal of Psychological Medicine · 2026;48(1):92–93
- 15A rare case of schizophrenia in a diagnosed patient of retinitis pigmentosa
Industrial Psychiatry Journal · 2023;32(Suppl 1):S281–S282
- 16Association of screen time with behavioral problems in school-going children
Industrial Psychiatry Journal · 2026 · online 21 Apr 2026
- 17Comparative analysis of prevalence of ADHD and parental quality of life amongst students of government and private schools
Industrial Psychiatry Journal · 2025 Feb 6
- 18Exploring stress, burnout, and alcohol consumption among postgraduate medical residents: A cross-sectional analysis
Medical Journal of Dr. D.Y. Patil Vidyapeeth · 2026;19(4):342–348
- 19Diffuse cortical atrophy in young males with alcohol dependence
Industrial Psychiatry Journal · 2025 Jan 15
- 20Premenstrual dysphoric disorder and its relationship with stress: A study on medical and allied medical science students at a tertiary care centre
Annals of Indian Psychiatry · 2024;8(1):20–24
- 21Learning points about regression analysis in a study of predictors of insight in obsessive compulsive disorder
Indian Journal of Psychiatry · 2024;66(10):982–983
- 22Internet addiction and its effects on psychological wellbeing: A community-based study
Industrial Psychiatry Journal · 2023;32(1):113–119
- 23Improvement of tinnitus with trifluoperazine in a patient with psychosis and ear disease
Asian Journal of Psychiatry · 2017;30:177–178
- 24Whether caffeine use is a protective or a risk factor for depression and suicide?
Asian Journal of Psychiatry · 2017;28:163–164
- 25Caffeine addiction: Need for awareness and research and regulatory measures
Asian Journal of Psychiatry · 2019;41:73–75
No publications match that filter.
Books & chapters
Fifteen chapters, written for clinicians who have to read the stats themselves.
Statistics Simplified for Clinicians
Regression, meta-analysis and machine learning in psychiatry, written for practising clinicians rather than statisticians.
Women's Mental Health Disorders
A multi-author national volume currently in preparation.
Teaching & outreach
Classrooms, clinics and school halls.
Undergraduate and postgraduate psychiatry teaching under CBME, plus a standing programme of guest lectures and mental health camps across Jaipur.
Guest lectures
- MBBS Foundation Course — JNUIMSRC
- Mental Health & Psychiatry — Apex University, Jaipur
- Mental Health — Vivek Gyan Vihar University, Jaipur
Community camps
- Seedling Modern High School, Jaipur — awareness camp & adolescent sessions
- Mahatma Gandhi Government School, Jaipur — awareness camp & sessions
- Outreach camps across Jaipur and surrounding districts
Faculty development
- Revised Basic Course Workshop (RBCW / BCME), NMC — Nov 2023
- Basic Course in Biomedical Research — ICMR / NMC
- CME — Mental health & well-being among PG medical residents, JNUIMSRC
Medico-administrative
- NABH internal audits, gap analysis and corrective actions
- Standardised departmental care pathways & documentation
- CBME implementation; UG/PG inspection readiness
Honours & service
Recognition, review and record.
Solanki Award — Best Research
Industrial Psychiatry Journal, for Artificial Intelligence in Suicide Prevention: Utilizing Deep Learning Approach for Early Detection ↗.
WHO COVID-19 literature
Two papers indexed in the WHO global research database.
Peer reviewer
Industrial Psychiatry Journal (PubMed) · Springer Nature · BioMed Central.
Class Valedictorian
MD Psychiatry, Institute of Medical Sciences, BHU.
NABH
Internal auditor and clinical pathways architect, Department of Psychiatry.
Certifications
Machine Learning Specialization (Stanford & DeepLearning.AI) · deep learning coursework · CBT (Beck Institute, USA).
Let's talk.
Open to research collaboration, teaching invitations, clinical referrals and conversations about digital mental health.
- ORCID 0000-0003-0070-8351
- LinkedIn dr-gaurav-maggu
- ResearchGate Publications
- Frontiers Loop Indexed profile
- PubMed Author search
Department of Psychiatry, JNUIMSRC · Jaipur, Rajasthan, India