BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Telerik Inc.//Sitefinity CMS 15.4//EN BEGIN:VTIMEZONE TZID:UTC BEGIN:STANDARD DTSTART;VALUE=DATE:20250101 TZNAME:UTC TZOFFSETFROM:+0000 TZOFFSETTO:+0000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DESCRIPTION:Date: Friday 2nd October 2026Location: \;GSK HQ\, 79 New Ox ford Street\, London\, WC1A 1DG\, United KingdomWho is this event intended for? Early careers\, apprentices\, and PhD students.What is the benefit o f attending? Attending this event offers a valuable opportunity to network with fellow early-career statisticians and professionals from both academ ia and industry. You'll gain insights into diverse career paths as a medic al statistician\, enhance your knowledge of current hot topics&mdash\;such as Bayesian analysis&mdash\;and develop key skills relevant to the field. The event is planned to take place on the 2nd of October at GSK in London\ , UK. It is planned to be a whole day event starting at 11am and going on till 4/5pm.Planned Agenda11am-12pm: Statistics-themed ice breaker(s)12pm-1 pm: Lunch1pm-2pm: Bayesian analysis workshop2pm-3pm: Careers panel3pm-4pm: Debate tables4pm &ndash\; late: Proposed afterwork networking eventEvent AbstractThis one-day event is tailored for early-career medical statistici ans\, including graduate students and PhD candidates or those in the first few years of their career\, seeking to expand their professional network and explore future career pathways. The morning will be dedicated to netwo rking activities\, providing attendees with the opportunity to connect wit h peers and professionals from both academia and industry.The afternoon pr ogram features a variety of talks and workshops\, including a panel discus sion on careers in medical statistics\, where speakers will share their ex periences and answer any questions attendees may have. A hands-on statisti cal workshop will address a current important topic in the medical statist ics field&mdash\;Bayesian analysis&mdash\;offering attendees the chance to upskill and gain practical experience on how Bayesian methods are applied in real-world clinical trial settings. And finally\, an interactive debat e tables session providing attendees with the opportunity to explore\, dis cuss\, and challenge perspectives on some of the hot topics shaping the me dical statistics field today.Bayesian Analysis Workshop AbstractThis sessi on will introduce the principles of Bayesian thinking in a practical and a ccessible way. We'll explore the key concepts in plain English\, how Bayes ian approaches differ from traditional frequentist methods\, and how they are being applied across pharmaceutical development. The session will incl ude real-world examples and an interactive case study\, providing attendee s with the opportunity to apply Bayesian thinking to a realistic decision- making scenario.To close the day\, we're gauging interest in an informal a fter-work networking event to continue conversations in a relaxed setting. RegistrationRegistration closes on 18th September.PSI Members: £\;10+ VATNon-PSI Members: £\;10+VATSpaces are limited - click here to regis ter now!Speaker details\n .table img {\n width: 150px\;\n height : 225px\;\n object-fit: cover\;\n }\n \nSpeakerBiographyMisbah Ah med\, Statistics Director\, GSKMisbah joined the CMC Statistics group at G SK in 2009 and spent much of her career supporting the development of medi cines from early development through to post-registration within Respirato ry. Around five years ago\, Misbah joined the Clinical Statistics organisa tion\, where she leads a team of statisticians within the Early Developmen t Statistics group\, primarily supporting assets from very early developme nt through to and including Ph2.In her current role\, she is both a team l eader and the Respiratory (COPD) Disease Area Lead. She also serves as the project statistician for a Ph2 study.Annie Wright\, PhD Candidate\, ICTUA nnie Wright is a PhD candidate at the Imperial Clinical Trials Unit (ICTU) \, funded by the NIHR Biomedical Research Centre (BRC) Digital Health them e. Her research focuses on clinical trial methodology\, with a particular interest in decentralised clinical trials (DCTs) and how digital health te chnologies can be used to improve the efficiency of clinical trials. As pa rt of her PhD\, Annie has conducted a systematic review of decentralised c linical trials\, explored public perspectives on the use of digital techno logies for data collection in trials through Patient and Public Involvemen t and Engagement (PPIE)\, and contributed to research investigating barrie rs and facilitators to efficient trial design in digital health. Her curre nt work focuses on simulation studies evaluating statistical methods for a nalysing longitudinal trial data under different trial designs and visit s chedules. \;Before starting her PhD\, Annie worked as a clinical trial s statistician at ICTU\, contributing to a range of clinical trials includ ing the COV-Boost trial. She previously worked as a trials and research st atistician at Queen Mary University of London&rsquo\;s Women&rsquo\;s Heal th Research Unit\, where she used large-scale datasets\, including UK Biob ank and Scottish maternity data\, to investigate research questions in wom en&rsquo\;s health. Annie holds a BSc in Pharmacology from the University of Dundee and an MSc in Applied Statistics in Health Sciences. \;Emily Howard\, Statistical Programmer\, VeramedEmily studied BSc Mathematical S ciences at the University of Bath\, including a placement year in the Stat istical Sciences department at UCB. Having enjoyed this initial industry e xperience\, she joined Veramed as a Statistical Programmer and has spent t he last two years there\, based in the Twickenham office and primarily wor king on paediatric rare disease studies. This next academic year\, she is excited to begin her MSc in Medical Statistics at the University of Strath clyde\, which she will be studying for part-time alongside her role at Ver amed. She looks forward to sharing her experience of transitioning from un iversity into industry and how she has found the first couple of years.Nao mi Givens\, Statistics Director\, GSKNaomi Givens is a Statistics Director at GSK with more than 25 years of experience in pharmaceutical drug devel opment. She currently supports the HIV portfolio and has held a variety of technical\, strategic and leadership roles across her career\, contributi ng to programmes from Phase II development through regulatory submission a nd beyond. Whilst the majority of her career has been in the HIV therapy a rea\, during the pandemic\, she played a leadership role on the developmen t program for a COVID-19 treatment which remains a career highlight.Alongs ide her technical responsibilities\, Naomi is passionate about developing people and helping others navigate their careers. She has spent much of he r career mentoring statisticians\, building capability within teams and cr eating opportunities for growth and development\, and particularly enjoys seeing individuals progress into leadership roles of their own. As Chair o f PSI (Statisticians in the Pharmaceutical Industry)\, following many year s of volunteering in committee and board positions\, she is a strong advoc ate for professional development and community building across the profess ion.Sudhir Venkatesan\, GSKSudhir Venkatesan is a statistician with over a decade of experience spanning causal inference\, real-world evidence\, an d statistical strategy across industry and academia.Sudhir is currently Di rector\, Statistics at GSK where he is the project statistician for Shingr ix. Prior to GSK\, he worked at AstraZeneca where he spent the past five y ears as Director\, Evidence Statistics\, supporting the Vaccines &\; Im mune Therapies unit. He served as lead statistician on medical evidence st udies for AstraZeneca's COVID-19 vaccine and monoclonal antibody programme s\, the FluMist live attenuated influenza vaccine\, and more recently the RSV/hMPV programme. Before that\, he spent two and a half years at IQVIA\, and before that\, seven years at the University of Nottingham's WHO Colla borating Centre for Pandemic Influenza\, where he also completed an interd isciplinary PhD in computer science and epidemiology.He holds an honorary affiliation with the Department of Medical Statistics at the London School of Hygiene &\; Tropical Medicine\, where he has taught on the MSc in H ealth Data Science for the past six years. DTEND:20261002T170000Z DTSTAMP:20261009T112630Z DTSTART:20261002T110000Z LOCATION: SEQUENCE:0 SUMMARY:PSI Career Young Face-to-Face Event at GSK UID:RFCALITEM639271419902613903 X-ALT-DESC;FMTTYPE=text/html:

Date: Friday 2nd October 2 026
Location: \;GSK HQ\, 79 New Oxford Street\, London\, WC1A 1DG\, United Kingdom

Who is this event intende d for? Early careers\, apprentices\, and PhD students.

What is the benefit of attending? Attending this event offers a valuable opportunity to network with fellow early-career statisticians and professionals from both academia and industry. You'll gain insights in to diverse career paths as a medical statistician\, enhance your knowledge of current hot topics&mdash\;such as Bayesian analysis&mdash\;and develop key skills relevant to the field.

The event is planned to tak e place on the 2nd of October at GSK in London\, UK. It is planned to be a whole day event starting at 11am and going on till 4/5pm.

Pl anned Agenda

11am-12pm: Statistics-themed ice breaker(s)

12pm -1pm: Lunch

1pm-2pm: Bayesian analysis workshop

2pm-3pm: Caree rs panel

3pm-4pm: Debate tables

4pm &ndash\; late: Proposed af terwork networking event

Event Abstract

This one-day e vent is tailored for early-career medical statisticians\, including gradua te students and PhD candidates or those in the first few years of their ca reer\, seeking to expand their professional network and explore future car eer pathways. The morning will be dedicated to networking activities\, pro viding attendees with the opportunity to connect with peers and profession als from both academia and industry.

The afternoon program features a variety of talks and workshops\, including a panel discussion on careers in medical statistics\, where speakers will share their experiences and a nswer any questions attendees may have. A hands-on statistical workshop wi ll address a current important topic in the medical statistics field&mdash \;Bayesian analysis&mdash\;offering attendees the chance to upskill and ga in practical experience on how Bayesian methods are applied in real-world clinical trial settings. And finally\, an interactive debate tables sessio n providing attendees with the opportunity to explore\, discuss\, and chal lenge perspectives on some of the hot topics shaping the medical statistic s field today.

Bayesian Analysis Workshop Abstract

This sess ion will introduce the principles of Bayesian thinking in a practical and accessible way. We'll explore the key concepts in plain English\, how Baye sian approaches differ from traditional frequentist methods\, and how they are being applied across pharmaceutical development. The session will inc lude real-world examples and an interactive case study\, providing attende es with the opportunity to apply Bayesian thinking to a realistic decision -making scenario.

To close the day\, we're gauging interest in an in formal after-work networking event to continue conversations in a relaxed setting.

< h2>Registration

Registration closes on 18th September.

PSI Members: £\;10+VAT
Non-PSI Members: £\;10+VAT< /p>

Spaces are limited - click here to regis ter now!

Speaker details

\n \n

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Emily studied BSc Mathematical Sciences at the University of Bath\, including a placement year in the Statistical Sci ences department at UCB. Having enjoyed this initial industry experience\, she joined Veramed as a Statistical Programmer and has spent the last two years there\, based in the Twickenham office and primarily working on pae diatric rare disease studies. This next academic year\, she is excited to begin her MSc in Medical Statistics at the University of Strathclyde\, whi ch she will be studying for part-time alongside her role at Veramed. She l ooks forward to sharing her experience of transitioning from university in to industry and how she has found the first couple of years.

SpeakerBiograp hy

Misbah Ahmed\, Statistics Director\, GSK

Misbah joined the CMC Statistics group at GSK in 2009 and spent much of her career supporting the development of medicines from earl y development through to post-registration within Respiratory. Around five years ago\, Misbah joined the Clinical Statistics organisation\, where sh e leads a team of statisticians within the Early Development Statistics gr oup\, primarily supporting assets from very early development through to a nd including Ph2.

In her current role\, she is both a team leader and the Respiratory (COPD) Disea se Area Lead. She also serves as the project statistician for a Ph2 study.

Annie Wright\, PhD Candidate\, ICTU

Annie Wright is a PhD candi date at the Imperial Clinical Trials Unit (ICTU)\, funded by the NIHR Biom edical Research Centre (BRC) Digital Health theme. Her research focuses on clinical trial methodology\, with a particular interest in decentralised clinical trials (DCTs) and how digital health technologies can be used to improve the efficiency of clinical trials. As part of her PhD\, Annie has conducted a systematic review of decentralised clinical trials\, explored public perspectives on the use of digital technologies for data collection in trials through Patient and Public Involvement and Engagement (PPIE)\, and contributed to research investigating barriers and facilitators to eff icient trial design in digital health. Her current work focuses on simulat ion studies evaluating statistical methods for analysing longitudinal tria l data under different trial designs and visit schedules. \;

Bef ore starting her PhD\, Annie worked as a clinical trials statistician at I CTU\, contributing to a range of clinical trials including the COV-Boost t rial. She previously worked as a trials and research statistician at Queen Mary University of London&rsquo\;s Women&rsquo\;s Health Research Unit\, where she used large-scale datasets\, including UK Biobank and Scottish ma ternity data\, to investigate research questions in women&rsquo\;s health. Annie holds a BSc in Pharmacology from the University of Dundee and an MS c in Applied Statistics in Health Sciences. \;

Emily Howard\, Statistical Programmer\, Veramed

Naomi Givens\, Statistics Director\, GSK

Naomi Givens is a Statistics Director at GSK with mo re than 25 years of experience in pharmaceutical drug development. She cur rently supports the HIV portfolio and has held a variety of technical\, st rategic and leadership roles across her career\, contributing to programme s from Phase II development through regulatory submission and beyond. Whil st the majority of her career has been in the HIV therapy area\, during th e pandemic\, she played a leadership role on the development program for a COVID-19 treatment which remains a career highlight.

Alongside her technical responsibilities\, N aomi is passionate about developing people and helping others navigate the ir careers. She has spent much of her career mentoring statisticians\, bui lding capability within teams and creating opportunities for growth and de velopment\, and particularly enjoys seeing individuals progress into leade rship roles of their own. As Chair of PSI (Statisticians in the Pharmaceut ical Industry)\, following many years of volunteering in committee and boa rd positions\, she is a strong advocate for professional development and c ommunity building across the profession.

Sudhir Ven katesan\, GSK

Sudhir Venkates an is a statistician with over a decade of experience spanning causal infe rence\, real-world evidence\, and statistical strategy across industry and academia.

Sudhir is currently Director\, Statistics at GSK whe re he is the project statistician for Shingrix. Prior to GSK\, he worked a t AstraZeneca where he spent the past five years as Director\, Evidence St atistics\, supporting the Vaccines &\; Immune Therapies unit. He served as lead statistician on medical evidence studies for AstraZeneca's COVID- 19 vaccine and monoclonal antibody programmes\, the FluMist live attenuate d influenza vaccine\, and more recently the RSV/hMPV programme. Before tha t\, he spent two and a half years at IQVIA\, and before that\, seven years at the University of Nottingham's WHO Collaborating Centre for Pandemic I nfluenza\, where he also completed an interdisciplinary PhD in computer sc ience and epidemiology.

He holds an honorary affiliation with t he Department of Medical Statistics at the London School of Hygiene &\; Tropical Medicine\, where he has taught on the MSc in Health Data Science for the past six years.

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